SG11201809343RA - Systems and methods for correcting error in a first classifier by evaluating classifier output in parallel - Google Patents

Systems and methods for correcting error in a first classifier by evaluating classifier output in parallel

Info

Publication number
SG11201809343RA
SG11201809343RA SG11201809343RA SG11201809343RA SG11201809343RA SG 11201809343R A SG11201809343R A SG 11201809343RA SG 11201809343R A SG11201809343R A SG 11201809343RA SG 11201809343R A SG11201809343R A SG 11201809343RA SG 11201809343R A SG11201809343R A SG 11201809343RA
Authority
SG
Singapore
Prior art keywords
classifier
training
international
target
street
Prior art date
Application number
SG11201809343RA
Inventor
Abraham Heifets
Izhar Wallach
Kong Nguyen
Original Assignee
Atomwise Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Atomwise Inc filed Critical Atomwise Inc
Publication of SG11201809343RA publication Critical patent/SG11201809343RA/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/27Regression, e.g. linear or logistic regression
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/04Inference or reasoning models
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/30Prediction of properties of chemical compounds, compositions or mixtures
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/60In silico combinatorial chemistry
    • G16C20/64Screening of libraries
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/70Machine learning, data mining or chemometrics
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • G06N20/10Machine learning using kernel methods, e.g. support vector machines [SVM]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/12Computing arrangements based on biological models using genetic models
    • G06N3/126Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/01Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computing arrangements based on specific mathematical models
    • G06N7/01Probabilistic graphical models, e.g. probabilistic networks
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B15/00ICT specially adapted for analysing two-dimensional or three-dimensional molecular structures, e.g. structural or functional relations or structure alignment
    • G16B15/30Drug targeting using structural data; Docking or binding prediction
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B35/00ICT specially adapted for in silico combinatorial libraries of nucleic acids, proteins or peptides
    • G16B35/20Screening of libraries
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/50Molecular design, e.g. of drugs

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Biology (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Databases & Information Systems (AREA)
  • Chemical & Material Sciences (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Multimedia (AREA)
  • Epidemiology (AREA)
  • Bioethics (AREA)
  • Public Health (AREA)
  • Biotechnology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Library & Information Science (AREA)
  • Medicinal Chemistry (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Image Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

WO 18/ 183 263 A2 GPU 50 100B pective target °hied 1 Pose 1-1 Voxel map 1-1 First classifier input vector 1-1 Corresponding score 1-1 Pose 1-1, \" Respective target object Q IC Tsai iinc data set for tirst cl Neccork - intergace -82 80 First classifier convol X ' 2, I c0-1-1 f 106-1-I J -2g i: 1-1 X \"- X ' s -Q x6f j 65I N 66 1 y68-1-N j g 66-W t Fig. 1B Controller 88 CPU 74 Operating system Classifier hias elimination module lest o jeer Target object 1 Target object N Training iibiens 1 Binding data against lalget objet Binding data against taiget object N Training object W Power User interface. supply Display Keyboard (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (43) International Publication Date 04 October 2018 (04.10.2018) W I PO I PCT Iiiimmoimiolollmonolomoluloolomiollooluomom (10) International Publication Number WO 2018/183263 A2 (51) International Patent Classification: GOOF 19/16 (2011.01) (21) International Application Number: PCT/US2018/024474 (22) International Filing Date: 27 March 2018 (27.03.2018) (25) Filing Language: English (26) Publication Language: English (30) Priority Data: 15/473,980 30 March 2017 (30.03.2017) US (71) Applicant: ATOMWISE INC. [US/US]; 1087 Mission Street, San Francisco, CA 94103 (US). (72) Inventors: HEIFETS, Abraham, Samuel; 1087 Mis- sion Street, San Francisco, CA 94103 (US). WALLACH, Izhar; 1087 Mission Street, San Francisco, CA 94103 (US). NGUYEN, Kong; 1087 Mission Street, San Francisco, CA 94103 (US). (74) Agent: LOVEJOY, Brett, A. et al.; Morgan, Lewis & Bockius LLP, One Market, Spear Street Tower, San Fran- cisco, CA 94105 (US). (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). - (54) Title: SYSTEMS AND METHODS FOR CORRECTING ERROR IN A FIRST CLASSIFIER BY EVALUATING CLASSIFIER — OUTPUT IN PARALLEL (57) : Systems and methods for classifying a test object are provided. For each respective target object in a plurality of target objects, a first procedure is performed comprising (a) posing the test object against the respective target thereby obtaining an interaction between the test and target, and (b) scoring the interaction with a first classifier. Each such score across the plurality of targets forms a test vector that is inputted into a second classifier thereby obtaining an indication of a target object. The second classifier is trained on training vectors, each being the output from instances of the first classifier after inputting a corresponding training object in a plurality of training objects in accordance with the first procedure. Each object in one subset of the training objects is uniquely associated with one of the targets. Another subset of the training objects is not associated with the targets. [Continued on next page] WO 2018/183263 A2 MIDIOH01101 DIVEFIE0 IIIIINI1101111111111111111111110111111111111 Declarations under Rule 4.17: as to applicant's entitlement to apply for and be granted a patent (Rule 4.17(11)) as to the applicant's entitlement to claim the priority of the earlier application (Rule 4.17(iii)) Published: without international search report and to be republished upon receipt of that report (Rule 48.2(g))
SG11201809343RA 2017-03-30 2018-03-27 Systems and methods for correcting error in a first classifier by evaluating classifier output in parallel SG11201809343RA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/473,980 US10546237B2 (en) 2017-03-30 2017-03-30 Systems and methods for correcting error in a first classifier by evaluating classifier output in parallel
PCT/US2018/024474 WO2018183263A2 (en) 2017-03-30 2018-03-27 Systems and methods for correcting error in a first classifier by evaluating classifier output in parallel

Publications (1)

Publication Number Publication Date
SG11201809343RA true SG11201809343RA (en) 2018-11-29

Family

ID=63669668

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201809343RA SG11201809343RA (en) 2017-03-30 2018-03-27 Systems and methods for correcting error in a first classifier by evaluating classifier output in parallel

Country Status (6)

Country Link
US (2) US10546237B2 (en)
EP (1) EP3433780B1 (en)
JP (1) JP7121725B2 (en)
CN (1) CN109964278B (en)
SG (1) SG11201809343RA (en)
WO (1) WO2018183263A2 (en)

Families Citing this family (39)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
BRPI0419092B8 (en) * 2004-09-27 2021-06-22 Daio Seishi Kk individually packaged absorbent articles and manufacturing method
US10546237B2 (en) * 2017-03-30 2020-01-28 Atomwise Inc. Systems and methods for correcting error in a first classifier by evaluating classifier output in parallel
JP6657137B2 (en) * 2017-03-31 2020-03-04 Kddi株式会社 Information processing apparatus, information processing method, and program
US11164071B2 (en) * 2017-04-18 2021-11-02 Samsung Electronics Co., Ltd. Method and apparatus for reducing computational complexity of convolutional neural networks
US10691975B2 (en) * 2017-07-19 2020-06-23 XNOR.ai, Inc. Lookup-based convolutional neural network
US20190115028A1 (en) * 2017-08-02 2019-04-18 Veritone, Inc. Methods and systems for optimizing engine selection
US11182693B2 (en) * 2017-10-23 2021-11-23 International Business Machines Corporation Composable natural language lenses for collaborative streams
JP6893480B2 (en) * 2018-01-18 2021-06-23 株式会社日立製作所 Analytical equipment and analytical method
US11531930B2 (en) * 2018-03-12 2022-12-20 Royal Bank Of Canada System and method for monitoring machine learning models
CN108615071B (en) * 2018-05-10 2020-11-24 创新先进技术有限公司 Model testing method and device
CN109710890B (en) * 2018-12-20 2023-06-09 四川新网银行股份有限公司 Method and system for identifying false material in real time based on constructed behavior portrait model
US11481667B2 (en) * 2019-01-24 2022-10-25 International Business Machines Corporation Classifier confidence as a means for identifying data drift
US10445611B1 (en) * 2019-01-25 2019-10-15 StradVision, Inc. Method for detecting pseudo-3D bounding box to be used for military purpose, smart phone or virtual driving based-on CNN capable of converting modes according to conditions of objects and device using the same
US10372573B1 (en) * 2019-01-28 2019-08-06 StradVision, Inc. Method and device for generating test patterns and selecting optimized test patterns among the test patterns in order to verify integrity of convolution operations to enhance fault tolerance and fluctuation robustness in extreme situations
WO2020170101A1 (en) * 2019-02-19 2020-08-27 King Abdullah University Of Science And Technology Reduced feature generation for signal classification based on a position weight matrix
CN110032761B (en) * 2019-03-07 2023-07-25 浙江工业大学 Classification method for single-particle imaging data of frozen electron microscope
CN110444250A (en) * 2019-03-26 2019-11-12 广东省微生物研究所(广东省微生物分析检测中心) High-throughput drug virtual screening system based on molecular fingerprint and deep learning
US11989216B2 (en) 2019-04-09 2024-05-21 University Of Washington Systems and methods for providing similarity-based retrieval of information stored in DNA
US11625585B1 (en) * 2019-05-21 2023-04-11 Perceive Corporation Compiler for optimizing filter sparsity for neural network implementation configuration
US12009066B2 (en) * 2019-05-22 2024-06-11 International Business Machines Corporation Automated transitive read-behind analysis in big data toxicology
CN110689919B (en) * 2019-08-13 2023-03-17 复旦大学 Pharmaceutical protein binding rate prediction method and system based on structure and grade classification
CN114521268A (en) * 2019-10-07 2022-05-20 松下知识产权经营株式会社 Classification system, classification method, and program
CN110794413B (en) * 2019-11-13 2021-11-16 湖北大学 Method and system for detecting power line of point cloud data of laser radar segmented by linear voxels
KR20210060146A (en) * 2019-11-18 2021-05-26 삼성전자주식회사 Method and apparatus for processing data using deep neural network model, method and apparatus for trining deep neural network model
CN111028883B (en) * 2019-11-20 2023-07-18 广州达美智能科技有限公司 Gene processing method and device based on Boolean algebra and readable storage medium
KR20210099988A (en) * 2020-02-05 2021-08-13 삼성전자주식회사 Method and apparatus for meta-training neural network and method and apparatus for training class vector of neuarl network
US11687764B2 (en) 2020-04-17 2023-06-27 Samsung Electronics Co., Ltd. System and method for increasing utilization of dot-product based neural network accelerator
CN115516456A (en) * 2020-04-30 2022-12-23 松下知识产权经营株式会社 Characteristic display device, characteristic display method, and program
US11158096B1 (en) * 2020-09-29 2021-10-26 X Development Llc Topology optimization using straight-through estimators
CN112466410B (en) * 2020-11-24 2024-02-20 江苏理工学院 Method and device for predicting binding free energy of protein and ligand molecule
CN113191504B (en) * 2021-05-21 2022-06-28 电子科技大学 Federated learning training acceleration method for computing resource isomerism
CN113409884B (en) * 2021-06-30 2022-07-22 北京百度网讯科技有限公司 Training method of sequencing learning model, sequencing method, device, equipment and medium
US11450407B1 (en) * 2021-07-22 2022-09-20 Pythia Labs, Inc. Systems and methods for artificial intelligence-guided biomolecule design and assessment
US11742057B2 (en) 2021-07-22 2023-08-29 Pythia Labs, Inc. Systems and methods for artificial intelligence-based prediction of amino acid sequences at a binding interface
WO2023055949A1 (en) 2021-10-01 2023-04-06 Atomwise Inc. Characterization of interactions between compounds and polymers using negative pose data and model conditioning
CN113951898B (en) * 2021-10-15 2023-03-10 浙江大学 P300 electroencephalogram signal detection method and device for data migration, electronic equipment and medium
US11680998B2 (en) * 2021-11-03 2023-06-20 Innovation Academy For Precision Measurement Science And Technology, Cas NMR relaxation time inversion method based on unsupervised neural network
CN115132295B (en) * 2022-04-21 2024-05-24 腾讯科技(深圳)有限公司 Molecular classification method, apparatus, device, and computer-readable storage medium
CN115328117B (en) * 2022-07-15 2023-07-14 大理大学 Protein dynamic ligand channel optimal path analysis method based on reinforcement learning

Family Cites Families (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU726049B2 (en) 1995-09-19 2000-10-26 Veracel Inc. A neural network assisted multi-spectral segmentation system
US6480627B1 (en) * 1999-06-29 2002-11-12 Koninklijke Philips Electronics N.V. Image classification using evolved parameters
US20020090631A1 (en) 2000-11-14 2002-07-11 Gough David A. Method for predicting protein binding from primary structure data
US20030148391A1 (en) * 2002-01-24 2003-08-07 Salafsky Joshua S. Method using a nonlinear optical technique for detection of interactions involving a conformational change
US9317664B2 (en) 2003-10-14 2016-04-19 Verseon Corporation Method and device for partitioning a molecule
US7236615B2 (en) 2004-04-21 2007-06-26 Nec Laboratories America, Inc. Synergistic face detection and pose estimation with energy-based models
US7747070B2 (en) 2005-08-31 2010-06-29 Microsoft Corporation Training convolutional neural networks on graphics processing units
WO2007048074A1 (en) * 2005-10-21 2007-04-26 Genenews Inc. Method and apparatus for correlating levels of biomarker products with disease
US20090241222A1 (en) * 2008-03-19 2009-09-24 Jose Alberto Fernandez-Pol Tandem reapeat dna constructs producing proteins that attack plant pathogenic viruses, fungi, and bacteria by disrupting transcription factors essential for replication thereof in plants
EP2483813A1 (en) * 2009-10-01 2012-08-08 Chipdx LLC System and method for classification of patients
AU2009230796A1 (en) * 2009-10-28 2011-05-12 Canon Kabushiki Kaisha Location-based brightness transfer function
CA3120217A1 (en) * 2011-04-29 2012-11-01 Cancer Prevention And Cure, Ltd. Methods of identification and diagnosis of lung diseases using classification systems and kits thereof
US20130280238A1 (en) 2012-04-24 2013-10-24 Laboratory Corporation Of America Holdings Methods and Systems for Identification of a Protein Binding Site
CN102930181B (en) * 2012-11-07 2015-05-27 四川大学 Protein-ligand affinity predicting method based on molecule descriptors
US9190053B2 (en) 2013-03-25 2015-11-17 The Governing Council Of The Univeristy Of Toronto System and method for applying a convolutional neural network to speech recognition
AU2014318499B2 (en) * 2013-09-16 2019-05-16 Biodesix, Inc Classifier generation method using combination of mini-classifiers with regularization and uses thereof
ES2774965T3 (en) 2013-09-27 2020-07-23 Codexis Inc Predictive modeling based on structure
US9668699B2 (en) 2013-10-17 2017-06-06 Siemens Healthcare Gmbh Method and system for anatomical object detection using marginal space deep neural networks
US9700219B2 (en) 2013-10-17 2017-07-11 Siemens Healthcare Gmbh Method and system for machine learning based assessment of fractional flow reserve
US9202144B2 (en) 2013-10-30 2015-12-01 Nec Laboratories America, Inc. Regionlets with shift invariant neural patterns for object detection
US20150278441A1 (en) 2014-03-25 2015-10-01 Nec Laboratories America, Inc. High-order semi-Restricted Boltzmann Machines and Deep Models for accurate peptide-MHC binding prediction
WO2015168774A1 (en) 2014-05-05 2015-11-12 Chematria Inc. Binding affinity prediction system and method
US9373059B1 (en) * 2014-05-05 2016-06-21 Atomwise Inc. Systems and methods for applying a convolutional network to spatial data
US10332028B2 (en) 2015-08-25 2019-06-25 Qualcomm Incorporated Method for improving performance of a trained machine learning model
US10546237B2 (en) * 2017-03-30 2020-01-28 Atomwise Inc. Systems and methods for correcting error in a first classifier by evaluating classifier output in parallel

Also Published As

Publication number Publication date
US10546237B2 (en) 2020-01-28
JP7121725B2 (en) 2022-08-18
US20180285731A1 (en) 2018-10-04
JP2020515922A (en) 2020-05-28
CN109964278B (en) 2023-06-27
WO2018183263A3 (en) 2018-11-22
EP3433780A4 (en) 2020-02-26
US20200334528A1 (en) 2020-10-22
EP3433780B1 (en) 2021-06-16
EP3433780A2 (en) 2019-01-30
CN109964278A (en) 2019-07-02
WO2018183263A2 (en) 2018-10-04

Similar Documents

Publication Publication Date Title
SG11201809343RA (en) Systems and methods for correcting error in a first classifier by evaluating classifier output in parallel
SG11201903787YA (en) Exploiting input data sparsity in neural network compute units
SG11201804771WA (en) Systems and methods for providing financial data to financial instruments in a distributed ledger system
SG11201903137XA (en) Three-dimensional graphical user interface for informational input in virtual reality environment
SG11201908489XA (en) De novo synthesized combinatorial nucleic acid libraries
SG11201906476TA (en) Login information processing method and device
SG11201910070PA (en) Universal short adapters for indexing of polynucleotide samples
SG11201906844RA (en) Biometric feature database establishing method and apparatus
SG11201907912YA (en) An appliance operation signal processing system and method
SG11201904942YA (en) Blockchain-based service execution method and apparatus, and electronic device
SG11201908675PA (en) Computer-implemented system and method for performing transaction mixing on a blockchain
SG11201906524TA (en) Word vector processing method and apparatus
SG11201805562QA (en) Genomic infrastructure for on-site or cloud-based dna and rna processing and analysis
SG11201909205YA (en) Immunoconjugates of an anti-pd-1 antibody with a mutant il-2 or with il-15
SG11201806630QA (en) Self-propelled personal transportation device
SG11201804372PA (en) Tracking and manipulating cellular rna via nuclear delivery of crispr/cas9
SG11201906151QA (en) System for free-space optical communication and lidar
SG11201909454QA (en) Container-based virtual camera rotation
SG11201901778YA (en) Automated document filing and processing methods and systems
SG11201807389XA (en) System and method for beam management
SG11201808076UA (en) Facilitating vehicle driving and self-driving
SG11201805186VA (en) Compositions and methods for immune cell modulation in adoptive immunotherapies
SG11201804528YA (en) Multi-passenger ride vehicle
SG11201807369UA (en) System and method for beam adjustment request
SG11201804541PA (en) Card handling devices and related assemblies and components