R. Fujimaki

发表

Factorized Asymptotic Bayesian Inference for Factorial Hidden Markov Models

C. Miao, Shaohua Li, R. Fujimaki, 2015, 1506.07959.

Genome analysis Learning chromatin states with factorized information criteria

K. Asai, Michiaki Hamada, R. Fujimaki, 2015 .

On The Projection Operator to A Three-view Cardinality Constrained Set

Ji Liu, Shupeng Gui, Daniel Stefankovic, 2017, ICML.

Robust Quadratic Programming for Price Optimization

Shinji Ito, Ryohei Fujimaki, Akihiro Yabe, 2017, IJCAI.

Adaptive Limit-Checking for Spacecraft Using Sequential Prediction Based on Regression Techniques

Takehisa Yairi, Kazuo Machida, Ryohei Fujimaki, 2006 .

An approach to spacecraft anomaly detection problem using kernel feature space

Takehisa Yairi, Kazuo Machida, Ryohei Fujimaki, 2005, KDD '05.

ADAPTIVE LIMIT-CHECKING FOR SPACECRAFT USING RELEVANCE VECTOR AUTOREGRESSIVE MODEL

Takehisa Yairi, Kazuo Machida, Ryohei Fujimaki, 2005 .

Learning chromatin states with factorized information criteria

Kiyoshi Asai, Michiaki Hamada, Ryohei Fujimaki, 2015, Bioinform..

Factorized Asymptotic Bayesian Policy Search for POMDPs

Ryohei Fujimaki, Masaaki Imaizumi, M. Imaizumi, 2017, IJCAI.

Factorized Asymptotic Bayesian Hidden Markov Models pdf

Kohei Hayashi, Ryohei Fujimaki, K. Hayashi, 2012, ICML.

Factorized Asymptotic Bayesian Inference for Mixture Modeling

Satoshi Morinaga, Ryohei Fujimaki, R. Fujimaki, 2012, AISTATS.

Large-Scale Price Optimization via Network Flow

Shinji Ito, Ryohei Fujimaki, R. Fujimaki, 2016, NIPS.

Development of Predictive Analytics Solution using Machine Learning

Yosuke Motohashi, Ryohei Fujimaki, R. Fujimaki, 2016 .

Network anomaly detection based on Eigen equation compression

Kenji Yamanishi, Takayuki Nakata, Ryohei Fujimaki, 2009, KDD.

Unbiased Objective Estimation in Predictive Optimization

Shinji Ito, Ryohei Fujimaki, Akihiro Yabe, 2018, ICML.

A Rare and Critical Condition Search Technique and its Application to Telescope Stray Light Analysis

Takashi Washio, Ryohei Fujimaki, Yoshio Kameda, 2018, SDM.

Mining abnormal patterns from heterogeneous time‐series with irrelevant features for fault event detection

Kenji Yamanishi, Takayuki Nakata, Akinori Sato, 2009, Stat. Anal. Data Min..

Anomaly Detection Support Vector Machine and Its Application to Fault Diagnosis

Ryohei Fujimaki, R. Fujimaki, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Optimization Beyond Prediction: Prescriptive Price Optimization

Shinji Ito, Ryohei Fujimaki, R. Fujimaki, 2016, KDD.

Mining Abnormal Patterns from Heterogeneous Time-Series with Irrelevant Features for Fault Event Detection

Takayuki Nakata, Akinori Sato, Ryohei Fujimaki, 2008, SDM.

Online heterogeneous mixture modeling with marginal and copula selection

Satoshi Morinaga, Yasuhiro Sogawa, Ryohei Fujimaki, 2011, KDD.

Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint

Jieping Ye, Ji Liu, Ryohei Fujimaki, 2013, ICML.

An Interactive Greedy Approach to Group Sparsity in High Dimensions

Xitong Yang, Wei Qian, Ji Liu, 2017, Technometrics.

Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models

Jialei Wang, Yosuke Motohashi, Ryohei Fujimaki, 2015, KDD.

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood

Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki, 2015, ICML.

Factorized Asymptotic Bayesian Inference for Latent Feature Models

Kohei Hayashi, Ryohei Fujimaki, K. Hayashi, 2013, NIPS.

Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm

Feiping Nie, Chris H. Q. Ding, Ji Liu, 2014, NIPS.

Telemetry-mining: a machine learning approach to anomaly detection and fault diagnosis for space systems

Y. Kawahara, Y. Sato, T. Yairi, 2006, 2nd IEEE International Conference on Space Mission Challenges for Information Technology (SMC-IT'06).

Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering

James Cheng, Yusuke Muraoka, Xiaokui Xiao, 2017, Knowledge and Information Systems.

Partition-wise Linear Models

Hidekazu Oiwa, Ryohei Fujimaki, H. Oiwa, 2014, NIPS.

An approach to spacecraft anomaly detection problem using kernel feature space

T. Yairi, K. Machida, R. Fujimaki, 2005, KDD '05.

An Approach to Spacecraft Anomaly Detection Problem Using Kernel Feature Space

T. Yairi, R. Fujimaki, Kazuo Machida, 2005 .

Arrangement of Low-Dimensional Parallel Coordinate Plots for High-Dimensional Data Visualization

Yoshinobu Kawahara, Takayuki Itoh, Satoshi Morinaga, 2013, 2013 17th International Conference on Information Visualisation.

An Empirical Study on Distributed Bayesian Approximation Inference of Piecewise Sparse Linear Models

Masato Asahara, Ryohei Fujimaki, M. Asahara, 2019, IEEE Transactions on Parallel and Distributed Systems.

Distributed Bayesian piecewise sparse linear models

Masato Asahara, Ryohei Fujimaki, M. Asahara, 2017, 2017 IEEE International Conference on Big Data (Big Data).