SG11201407897YA - Latent variable model estimation apparatus and method - Google Patents
Latent variable model estimation apparatus and methodInfo
- Publication number
- SG11201407897YA SG11201407897YA SG11201407897YA SG11201407897YA SG11201407897YA SG 11201407897Y A SG11201407897Y A SG 11201407897YA SG 11201407897Y A SG11201407897Y A SG 11201407897YA SG 11201407897Y A SG11201407897Y A SG 11201407897YA SG 11201407897Y A SG11201407897Y A SG 11201407897YA
- Authority
- SG
- Singapore
- Prior art keywords
- hidden
- tokyo
- model
- probability
- variable
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Algebra (AREA)
- Probability & Statistics with Applications (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Operations Research (AREA)
- Databases & Information Systems (AREA)
- Computational Linguistics (AREA)
- Complex Calculations (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
(i2) mwu ft iz s-5 iv x m £ titz s issaj n d9) mm IHMMi _ (41) SI5S4>!H B 2013^12^ 5 0(05.12.2013) W HRO I P CT (10) WO 2013/179579 A1 (51) G06N 5/04 { 2006.01) (21) PCT/JP2013/002900 (22) H|®t±J®IS: 2013^4^ 30 0(30.04.2013) (25) (26) @(8&M©Wl§: 0*f§ (30) fiBfcfif '— 1 £: 61/653,855 2012^5^ 31 0(31.05.2012) US (71) tiili® A:_0 CORPORATION) [JP/JP]; T 1088001 E 2S T I7f1^ Tokyo (JP). (72) % BJ # : H # if ¥ (FUJIMAKI, Ryohei); T 1088001 7f 1 ^0$lt Tokyo (JP). IS TK. ®g(MORINAGA, Satoshi); T 1088001 SET |7f1^ Tokyo (JP). == (74) ftHA: #}it, ^(IWAKABK, Iuyuki cl al ); = T 1040031 M 51 #5 rp £ E j? v ~ T g 8 # 7 ^ Tokyo (JP). (54) Title: HIDDEN-VARIABLE-MODEL ESTIMATION DEVICE AND METHOD = (54) |: ®*l£»^ (57) Abstract: Provided is a hidden-variable-model estima tion device that makes it possible to implement high-speed model selection even if the number of candidate models in creases exponentially with the number of hidden states and the number of types of measurement probabilities. A vari- ation-probability calculation unit (71) calculates a variation probability by maximizing a reference value defined as the lower bound of the Laplace approximation of the estimated value of marginalized log-likelihood function with a respect to a complete variable. A model estimation unit (72) pro duces an estimation of the optimal hidden-variable model by estimating the measurement-probability type of and paramet ers for each hidden state. A convergence determination unit (73) determines whether or not the reference value that the variation-probability calculation unit (71) used when calcu lating the variation probability converged. (57) mm : as £ t 1 it. I- -So 2IA, #®*ittfi8lc*JLTt& jlJfS^CDffi— £ Ittfk'Mt' -S £®*l£»^7 ;U£tlt^?\"3o i 4XM£SP7 3 * (8i) Jt^ia (^ro&i^PBy, IS ft nJ f b): 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, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, KZ, LA, LC, LK, LR, LS, LT, 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, 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) > ±T(Dmm(Dfcm% 11^ nlfb): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, SZ, TZ, UG, ZM, ZW), 3. — =j V T (AM, AZ, BY, KG, KZ, RU, TJ, TM), 3 — • V / ^ (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, ML, MR, NE, SN, TD, TG). - (&&£ 21 &(3)) = r-> \ f § \ f 0\ ir, o\ i> i-H cn 71 w 72 w 73 w 71 72 73 VARIATION-PROBABILITY CALCULATION UNIT MODEL ESTIMATION UNIT CONVERGENCE DETERMINATION UNIT O CJ
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201261653855P | 2012-05-31 | 2012-05-31 | |
PCT/JP2013/002900 WO2013179579A1 (en) | 2012-05-31 | 2013-04-30 | Hidden-variable-model estimation device and method |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11201407897YA true SG11201407897YA (en) | 2015-01-29 |
Family
ID=49671535
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11201407897YA SG11201407897YA (en) | 2012-05-31 | 2013-04-30 | Latent variable model estimation apparatus and method |
Country Status (7)
Country | Link |
---|---|
US (1) | US9043261B2 (en) |
EP (1) | EP2858012A4 (en) |
JP (1) | JP6020561B2 (en) |
CN (1) | CN104160412B (en) |
MX (1) | MX338266B (en) |
SG (1) | SG11201407897YA (en) |
WO (1) | WO2013179579A1 (en) |
Families Citing this family (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8909582B2 (en) * | 2013-02-04 | 2014-12-09 | Nec Corporation | Hierarchical latent variable model estimation device, hierarchical latent variable model estimation method, and recording medium |
US9355196B2 (en) * | 2013-10-29 | 2016-05-31 | Nec Corporation | Model estimation device and model estimation method |
US9489632B2 (en) * | 2013-10-29 | 2016-11-08 | Nec Corporation | Model estimation device, model estimation method, and information storage medium |
WO2015143580A1 (en) | 2014-03-28 | 2015-10-01 | Huawei Technologies Co., Ltd | Method and system for verifying facial data |
CN104951642A (en) * | 2014-03-28 | 2015-09-30 | 日本电气株式会社 | Method and device for determining relation model |
JP6451735B2 (en) * | 2014-03-28 | 2019-01-16 | 日本電気株式会社 | Energy amount estimation device, energy amount estimation method, and energy amount estimation program |
JP6525002B2 (en) * | 2014-04-28 | 2019-06-05 | 日本電気株式会社 | Maintenance time determination apparatus, deterioration prediction system, deterioration prediction method, and recording medium |
WO2016009599A1 (en) * | 2014-07-14 | 2016-01-21 | 日本電気株式会社 | Commercial message planning assistance system and sales prediction assistance system |
JP6301853B2 (en) * | 2015-02-18 | 2018-03-28 | 株式会社日立製作所 | Secular change prediction system |
CN106156858A (en) * | 2015-03-31 | 2016-11-23 | 日本电气株式会社 | Up model generation system and the method for generation |
CN106155779A (en) * | 2015-03-31 | 2016-11-23 | 日本电气株式会社 | Up model generation system and the method for generation |
US10315116B2 (en) * | 2015-10-08 | 2019-06-11 | Zynga Inc. | Dynamic virtual environment customization based on user behavior clustering |
CN105205502B (en) * | 2015-10-30 | 2019-01-01 | 山东大学 | A kind of Load time series classification method based on markov Monte Carlo |
EP3385889A4 (en) * | 2015-12-01 | 2019-07-10 | Preferred Networks, Inc. | Abnormality detection system, abnormality detection method, abnormality detection program, and method for generating learned model |
JP6243080B1 (en) * | 2017-08-03 | 2017-12-06 | 株式会社日立パワーソリューションズ | Preprocessor and abnormal sign diagnosis system |
CN108388218B (en) * | 2018-02-08 | 2020-06-19 | 中国矿业大学 | Correction self-adaptive batch process optimization method based on latent variable process migration model |
US20210150388A1 (en) * | 2018-03-30 | 2021-05-20 | Nec Corporation | Model estimation system, model estimation method, and model estimation program |
US20200111575A1 (en) * | 2018-10-04 | 2020-04-09 | Babylon Partners Limited | Producing a multidimensional space data structure to perform survival analysis |
JP7197789B2 (en) * | 2019-03-01 | 2022-12-28 | 富士通株式会社 | Optimization device and control method for optimization device |
US11204931B1 (en) * | 2020-11-19 | 2021-12-21 | International Business Machines Corporation | Query continuous data based on batch fitting |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2004285183A1 (en) * | 2003-10-30 | 2005-05-12 | Nec Corporation | Estimation system, estimation method, and estimation program for estimating object state |
JP4640407B2 (en) | 2007-12-07 | 2011-03-02 | ソニー株式会社 | Signal processing apparatus, signal processing method, and program |
US8037043B2 (en) * | 2008-09-09 | 2011-10-11 | Microsoft Corporation | Information retrieval system |
US8565538B2 (en) * | 2010-03-16 | 2013-10-22 | Honda Motor Co., Ltd. | Detecting and labeling places using runtime change-point detection |
CN101865828B (en) * | 2010-05-31 | 2012-05-23 | 湖南大学 | Method for maintaining predication capability of spectrum correction model of complex system |
JP5351856B2 (en) | 2010-08-18 | 2013-11-27 | 日本電信電話株式会社 | Sound source parameter estimation device, sound source separation device, method thereof, program, and storage medium |
SG189314A1 (en) | 2011-03-18 | 2013-05-31 | Nec Corp | Multivariate data mixture model estimation device, mixture model estimation method, and mixture model estimation program |
-
2012
- 2012-09-13 US US13/614,997 patent/US9043261B2/en active Active
-
2013
- 2013-04-30 SG SG11201407897YA patent/SG11201407897YA/en unknown
- 2013-04-30 JP JP2014518252A patent/JP6020561B2/en active Active
- 2013-04-30 MX MX2014013721A patent/MX338266B/en active IP Right Grant
- 2013-04-30 WO PCT/JP2013/002900 patent/WO2013179579A1/en active Application Filing
- 2013-04-30 CN CN201380009657.8A patent/CN104160412B/en active Active
- 2013-04-30 EP EP13797356.6A patent/EP2858012A4/en not_active Withdrawn
Also Published As
Publication number | Publication date |
---|---|
CN104160412A (en) | 2014-11-19 |
US9043261B2 (en) | 2015-05-26 |
MX338266B (en) | 2016-04-11 |
JPWO2013179579A1 (en) | 2016-01-18 |
EP2858012A1 (en) | 2015-04-08 |
EP2858012A4 (en) | 2017-02-15 |
CN104160412B (en) | 2017-08-11 |
WO2013179579A1 (en) | 2013-12-05 |
US20130325782A1 (en) | 2013-12-05 |
JP6020561B2 (en) | 2016-11-02 |
MX2014013721A (en) | 2015-02-10 |
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