JP2016520220A5 - - Google Patents

Download PDF

Info

Publication number
JP2016520220A5
JP2016520220A5 JP2015549102A JP2015549102A JP2016520220A5 JP 2016520220 A5 JP2016520220 A5 JP 2016520220A5 JP 2015549102 A JP2015549102 A JP 2015549102A JP 2015549102 A JP2015549102 A JP 2015549102A JP 2016520220 A5 JP2016520220 A5 JP 2016520220A5
Authority
JP
Japan
Prior art keywords
reference value
model estimation
value
hidden
determinant
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
JP2015549102A
Other languages
English (en)
Japanese (ja)
Other versions
JP2016520220A (ja
JP6398991B2 (ja
Filing date
Publication date
Priority claimed from US13/898,118 external-priority patent/US20140344183A1/en
Application filed filed Critical
Publication of JP2016520220A publication Critical patent/JP2016520220A/ja
Publication of JP2016520220A5 publication Critical patent/JP2016520220A5/ja
Application granted granted Critical
Publication of JP6398991B2 publication Critical patent/JP6398991B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

JP2015549102A 2013-05-20 2014-04-21 モデル推定装置、方法およびプログラム Active JP6398991B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US13/898,118 2013-05-20
US13/898,118 US20140344183A1 (en) 2013-05-20 2013-05-20 Latent feature models estimation device, method, and program
PCT/JP2014/002219 WO2014188659A1 (en) 2013-05-20 2014-04-21 Latent feature models estimation device, method, and program

Publications (3)

Publication Number Publication Date
JP2016520220A JP2016520220A (ja) 2016-07-11
JP2016520220A5 true JP2016520220A5 (https=) 2016-08-18
JP6398991B2 JP6398991B2 (ja) 2018-10-03

Family

ID=51896584

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2015549102A Active JP6398991B2 (ja) 2013-05-20 2014-04-21 モデル推定装置、方法およびプログラム

Country Status (4)

Country Link
US (1) US20140344183A1 (https=)
EP (1) EP3000058A4 (https=)
JP (1) JP6398991B2 (https=)
WO (1) WO2014188659A1 (https=)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9489632B2 (en) * 2013-10-29 2016-11-08 Nec Corporation Model estimation device, model estimation method, and information storage medium
US9355196B2 (en) * 2013-10-29 2016-05-31 Nec Corporation Model estimation device and model estimation method
WO2019234802A1 (en) 2018-06-04 2019-12-12 Nec Corporation Information processing apparatus, method, and program

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6671661B1 (en) * 1999-05-19 2003-12-30 Microsoft Corporation Bayesian principal component analysis
US7480640B1 (en) * 2003-12-16 2009-01-20 Quantum Leap Research, Inc. Automated method and system for generating models from data
US7499897B2 (en) * 2004-04-16 2009-03-03 Fortelligent, Inc. Predictive model variable management
US9208436B2 (en) * 2010-03-03 2015-12-08 Nec Corporation Model selection device, model selection method and model selection program
US9326698B2 (en) * 2011-02-18 2016-05-03 The Trustees Of The University Of Pennsylvania Method for automatic, unsupervised classification of high-frequency oscillations in physiological recordings

Similar Documents

Publication Publication Date Title
Gracia et al. A methodology to compare dimensionality reduction algorithms in terms of loss of quality
Tulsyan et al. On simultaneous on-line state and parameter estimation in non-linear state-space models
Malik et al. Particle filters for continuous likelihood evaluation and maximisation
Kelkinnama et al. Fuzzy least-absolutes regression using shape preserving operations
Nikoloulopoulos On the estimation of normal copula discrete regression models using the continuous extension and simulated likelihood
Reynoso-Meza et al. Physical programming for preference driven evolutionary multi-objective optimization
Yang et al. Nonnegative adaptive lasso for ultra-high dimensional regression models and a two-stage method applied in financial modeling
JP2013081683A5 (https=)
JP2017073142A5 (https=)
SG11201709930TA (en) Collaborative filtering method, apparatus, server and storage medium in combination with time factor
Karimi et al. A maximum-likelihood method for estimating parameters, stochastic disturbance intensities and measurement noise variances in nonlinear dynamic models with process disturbances
Rohart et al. Selection of fixed effects in high dimensional linear mixed models using a multicycle ECM algorithm
Wang An approximate method to compute a sparse graph for traveling salesman problem
Alexandrov Matrix models for random partitions
Bartoszek Quantifying the effects of anagenetic and cladogenetic evolution
Gonnord et al. Abstract acceleration in linear relation analysis
JP2016520220A5 (https=)
JPWO2021038788A5 (ja) ロバスト性評価装置、ロバスト性評価方法およびプログラム
Jhong et al. Penalized B-spline estimator for regression functions using total variation penalty
Fu et al. Efficient parameter estimation via Gaussian copulas for quantile regression with longitudinal data
Viaño et al. Asymptotic derivation of quasistatic frictional contact models with wear for elastic rods
Zhu et al. Scientific data interpolation with low dimensional manifold model
Liu et al. Robust estimation and variable selection in censored partially linear additive models
RU2015115523A (ru) Системы и способы для вычисления решений уравнений геометрических связей реализуемых компьютером виртуальных моделей
Yang et al. Robust fitting of a Weibull model with optional censoring