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Research Output 1993 2019

  • 931 Citations
  • 11 h-Index
  • 34 Conference contribution
  • 15 Article
  • 3 Conference article
  • 1 Paper
2019

Asymptotic Behavior of Typical Sets and the Smallest High Probability Set

Eto, M., Kawakita, M. & Takeuchi, J., Mar 8 2019, Proceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018. Institute of Electrical and Electronics Engineers Inc., p. 717-721 5 p. 8664327. (Proceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Entropy

Improved MDL Estimators Using Local Exponential Family Bundles Applied to Mixture Families

Miyamoto, K., Barron, A. R. & Takeuchi, J., Jul 2019, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1442-1446 5 p. 8849350. (IEEE International Symposium on Information Theory - Proceedings; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data description
Exponential Family
Bundle
Estimator
Regret
2018
1 Citation (Scopus)

A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization

Takahashi, N., Katayama, J., Seki, M. & Takeuchi, J., Sep 1 2018, In : Computational Optimization and Applications. 71, 1, p. 221-250 30 p.

Research output: Contribution to journalArticle

Non-negative Matrix Factorization
Global Analysis
Factorization
Convergence Analysis
Global Convergence

Information geometry of the family of Markov kernels defined by a context tree

Takeuchi, J. & Nagaoka, H., Jan 31 2018, 2017 IEEE Information Theory Workshop, ITW 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 429-433 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Information Geometry
kernel
Geometry
Exponential Family
Model
2017
1 Citation (Scopus)

A note on model selection for small sample regression

Kawakita, M. & Takeuchi, J., Nov 1 2017, In : Machine Learning. 106, 11, p. 1839-1862 24 p.

Research output: Contribution to journalArticle

Experiments
2016
1 Citation (Scopus)

An improved upper bound on block error probability of least squares superposition codes with unbiased Bernoulli dictionary

Takeishi, Y. & Takeuchi, J., Aug 10 2016, Proceedings - ISIT 2016; 2016 IEEE International Symposium on Information Theory. Institute of Electrical and Electronics Engineers Inc., p. 1168-1172 5 p. 7541483. (IEEE International Symposium on Information Theory - Proceedings; vol. 2016-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Error Probability
Glossaries
Bernoulli
Superposition
Decoding
1 Citation (Scopus)

Barron and cover's theory in supervised learning and its application to lasso

Kawakita, M. & Takeuchi, J., 2016, 33rd International Conference on Machine Learning, ICML 2016. International Machine Learning Society (IMLS), Vol. 4. p. 2896-2905 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Supervised learning
Computer simulation
1 Citation (Scopus)

Botnet detection using graphical lasso with graph density

Han, C., Kono, K., Tanaka, S., Kawakita, M. & Takeuchi, JI., Jan 1 2016, Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. Doya, K., Ikeda, K., Lee, M., Hirose, A., Ozawa, S. & Liu, D. (eds.). Springer Verlag, p. 537-545 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9947 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lasso
Graph in graph theory
Regularization
Change Point
Coefficient
1 Citation (Scopus)

MDL criterion for NMF with application to botnet detection

Tanaka, S., Kawamura, Y., Kawakita, M., Murata, N. & Takeuchi, J., Jan 1 2016, Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. Doya, K., Ikeda, K., Lee, M., Hirose, A., Ozawa, S. & Liu, D. (eds.). Springer Verlag, p. 570-578 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9947 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Matrix Factorization
Factorization
Traffic
Internet
Non-negative Matrix Factorization
2014
3 Citations (Scopus)

Asymptotically minimax regret for models with hidden variables

Takeuchi, J. & Barron, A. R., Jan 1 2014, 2014 IEEE International Symposium on Information Theory, ISIT 2014. Institute of Electrical and Electronics Engineers Inc., p. 3037-3041 5 p. 6875392. (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hidden Variables
Regret
Minimax
Regularity Conditions
Strings
3 Citations (Scopus)

Least squares superposition codes with bernoulli dictionary are still reliable at rates up to capacity

Takeishi, Y., Kawakita, M. & Takeuchi, J., Jan 1 2014, In : IEEE Transactions on Information Theory. 60, 5, p. 2737-2750 14 p., 6776455.

Research output: Contribution to journalArticle

Glossaries
dictionary
Gaussian distribution
Decoding
Error probability
12 Citations (Scopus)

Safe semi-supervised learning based on weighted likelihood

Kawakita, M. & Takeuchi, J., Jan 1 2014, In : Neural Networks. 53, p. 146-164 19 p.

Research output: Contribution to journalArticle

Supervised learning
Learning
Maximum likelihood
Weights and Measures
Supervised Machine Learning
1 Citation (Scopus)

Stochastic Complexity for tree models

Takeuchi, JI. & Barron, A. R., Dec 1 2014, 2014 IEEE Information Theory Workshop, ITW 2014. Institute of Electrical and Electronics Engineers Inc., p. 222-226 5 p. 6970825. (2014 IEEE Information Theory Workshop, ITW 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data compression
Markov processes
2013
9 Citations (Scopus)

A behavior-based method for detecting distributed scan attacks in darknets

Feng, Y., Hori, Y., Sakurai, K. & Takeuchi, J., Jul 19 2013, In : Journal of information processing. 21, 3, p. 527-538 12 p.

Research output: Contribution to journalArticle

Internet
4 Citations (Scopus)

Asymptotically minimax regret by Bayes mixtures for non-exponential families

Takeuchi, J. & Barron, A. R., Dec 1 2013, 2013 IEEE Information Theory Workshop, ITW 2013. 6691254. (2013 IEEE Information Theory Workshop, ITW 2013).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data compression
Probability distributions
Maximum likelihood
3 Citations (Scopus)

Boundedness of modified multiplicative updates for nonnegative matrix factorization

Katayama, J., Takahashi, N. & Takeuchi, J., Dec 1 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013. p. 252-255 4 p. 6714055

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factorization
3 Citations (Scopus)

Least squares superposition codes with Bernoulli dictionary are still reliable at rates up to capacity

Takeishi, Y., Kawakita, M. & Takeuchi, JI., Dec 19 2013, 2013 IEEE International Symposium on Information Theory, ISIT 2013. p. 1396-1400 5 p. 6620456. (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Error Probability
Glossaries
Bernoulli
Superposition
Least Squares
7 Citations (Scopus)

Properties of jeffreys mixture for markov sources

Takeuchi, J., Kawabata, T. & Barron, A. R., Jan 7 2013, In : IEEE Transactions on Information Theory. 59, 1, p. 438-457 20 p., 6307868.

Research output: Contribution to journalArticle

coding
symbol
Data compression
Monte Carlo methods
2012
6 Citations (Scopus)

A behavior-based detection method for outbreaks of low-rate attacks

Feng, Y., Hori, Y., Sakurai, K. & Takeuchi, J., 2012, Proceedings - 2012 IEEE/IPSJ 12th International Symposium on Applications and the Internet, SAINT 2012. p. 267-272 6 p. 6305296

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Network security
8 Citations (Scopus)

Botnet detection based on non-negative matrix factorization and the MDL principle

Yamauchi, S., Kawakita, M. & Takeuchi, J., Nov 19 2012, Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings. PART 5 ed. p. 400-409 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7667 LNCS, no. PART 5).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Non-negative Matrix Factorization
Factorization
Change-point Analysis
Change-point Detection
Time series

Constant Markov Portfolio and its application to universal portfolio with side information

Tsurusaki, M. & Takeuchi, J., Oct 22 2012, 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012. p. 1623-1627 5 p. 6283550. (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Side Information
Exact Computation
Approximation algorithms
EM Algorithm
Approximation Algorithms

Information theoretic limit of single-frame super-resolution

Yamaguchi, K., Kawakita, M., Takahashi, N. & Takeuchi, J., Nov 26 2012, Proceedings - 3rd International Conference on Emerging Security Technologies, EST 2012. p. 82-85 4 p. 6328088

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Information theory
Channel coding
2 Citations (Scopus)

Network traffic screening using frequent sequential patterns

Tsuruta, H., Shoudai, T. & Takeuchi, J., Jan 16 2012, Intelligent Control and Innovative Computing. p. 363-375 13 p. (Lecture Notes in Electrical Engineering; vol. 110 LNEE).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Screening
Monitoring
Internet
Botnet
Malware
2011

Acceleration technique for boosting classification and its application to face detection

Kawakita, M., Izumi, R., Takeuchi, J., Hu, Y., Takamori, T. & Kameyama, H., 2011, In : Journal of Machine Learning Research. 20, p. 335-349 15 p.

Research output: Contribution to journalArticle

Face Detection
Boosting
Face recognition
Classifier
Detector
1 Citation (Scopus)

Frequent sequential pattern discovery for data screening

Tsuruta, H., Shoudai, T. & Takeuchi, J., Jul 26 2011, IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011. p. 315-322 8 p. (IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011; vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Screening
Monitoring
Internet
Botnet
Malware
1 Citation (Scopus)

Stochastic interpretation of universal portfolio and generalized target classes

Tsurusaki, M. & Takeuchi, JI., Oct 26 2011, 2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011. p. 390-394 5 p. 6034153. (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Probability density function
Target
Latent Variables
Jeffreys Prior
Universal Cover
2010
1 Citation (Scopus)

A note on model selection for small sample regression

Kawakita, M., Oie, Y. & Takeuchi, J., Dec 1 2010, ISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications. p. 112-117 6 p. 5649443. (ISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Experiments
2009
17 Citations (Scopus)

An incident analysis system NICTER and its analysis engines based on data mining techniques

Inoue, D., Yoshioka, K., Eto, M., Yamagata, M., Nishino, E., Takeuchi, J., Ohkouchi, K. & Nakao, K., Sep 21 2009, Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 1 ed. p. 579-586 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5506 LNCS, no. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Emergency Response
Systems Analysis
Data mining
Data Mining
Engine
2 Citations (Scopus)

Fisher information determinant and stochastic complexity for Markov models

Takeuchi, J., Nov 19 2009, 2009 IEEE International Symposium on Information Theory, ISIT 2009. p. 1894-1898 5 p. 5205510. (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Stochastic Complexity
Fisher Information
Markov Model
Determinant
Exponential Family
2007
6 Citations (Scopus)

Exponential curvature of Markov models

Takeuchi, J. & Kawabata, T., Dec 1 2007, Proceedings - 2007 IEEE International Symposium on Information Theory, ISIT 2007. p. 2891-2895 5 p. 4557657. (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Markov Model
Exponential Family
Curvature
Model
Finite automata
2006
163 Citations (Scopus)

A unifying framework for detecting outliers and change points from time series

Takeuchi, J. & Yamanishi, K., Apr 1 2006, In : IEEE Transactions on Knowledge and Data Engineering. 18, 4, p. 482-492 11 p.

Research output: Contribution to journalArticle

Time series
Network security
Learning algorithms
Data mining
Statistics
12 Citations (Scopus)

Equiaffine structures on statistical manifolds and Bayesian statistics

Matsuzoe, H., Takeuchi, J. & Amari, S. I., Dec 1 2006, In : Differential Geometry and its Application. 24, 6, p. 567-578 12 p.

Research output: Contribution to journalArticle

Statistical Manifold
Bayesian Statistics
Statistics
Jeffreys Prior
Geometry
3 Citations (Scopus)

Travel time prediction using probe-car data

Fujita, T., Yao, E., Sugisaki, Y., Takeuchi, J., Hirabayashi, K. & Nakata, T., Jan 1 2006, 13th World Congress on Intelligent Transport Systems and Services. Intelligent Transport Systems (ITS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Travel time
Railroad cars
travel
Advanced traveler information systems
information system
2005
2 Citations (Scopus)

Data mining for security

Yamanishi, K., Takeuchi, J. & Maruyama, Y., Dec 2005, In : NEC Journal of Advanced Technology. 2, 1, p. 63-69 7 p.

Research output: Contribution to journalArticle

Data mining
Engines
Terrorism
Intrusion detection
Industry
11 Citations (Scopus)

α-Parallel prior and its properties

Takeuchi, J. & Amari, S. I., Mar 1 2005, In : IEEE Transactions on Information Theory. 51, 3, p. 1011-1023 13 p.

Research output: Contribution to journalArticle

Maximum likelihood
mathematics
Geometry
Statistical Models
2004
48 Citations (Scopus)

Mining traffic data from probe-car system for travel time prediction

Nakata, T. & Takeuchi, J., 2004, KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Kohavi, R., Gehrke, J., DuMouchel, W. & Ghosh, J. (eds.). p. 817-822 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Travel time
Railroad cars
Time series
Statistical methods
Detectors
186 Citations (Scopus)

On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms

Yamanishi, K., Takeuchi, J., Williams, G. & Milne, P., May 1 2004, In : Data Mining and Knowledge Discovery. 8, 3, p. 275-300 26 p.

Research output: Contribution to journalArticle

Health insurance
Intrusion detection
Learning algorithms
Unsupervised learning
Pathology
2003

Distributed cooperative mining for information consortia

Morinaga, S., Yamanishi, K. & Takeuchi, J., 2003, Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '03. p. 619-624 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Probability distributions
Normal distribution
Risk management
2002
127 Citations (Scopus)

A unifying framework for detecting outliers and change points from non-stationary time series data

Yamanishi, K. & Takeuchi, J., Dec 1 2002, p. 676-681. 6 p.

Research output: Contribution to conferencePaper

Time series
Learning algorithms
Data mining
Monitoring
Statistical Models
2001
69 Citations (Scopus)

Discovering outlier filtering rules from unlabeled data

Yamanishi, K. & Takeuchi, J., Dec 1 2001, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Provost, F., Srikant, R., Schkolnick, M. & Lee, D. (eds.). p. 389-394 6 p. (Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Unsupervised learning
Supervised learning
Labels
Intrusion detection
7 Citations (Scopus)

Polynomial learnability of stochastic rules with respect to the KL-divergence and quadratic distance

Abe, N., Takeuchi, J. & Warmuth, K. M., 2001, In : IEICE Transactions on Information and Systems. E84-D, 3, p. 290-316 27 p.

Research output: Contribution to journalArticle

Polynomials
Finite automata
Learning algorithms
2000

Lob-pass problem

Takeuchi, J., Abe, N. & Amari, S. I., Jan 1 2000, In : Journal of Computer and System Sciences. 61, 3, p. 523-557 35 p.

Research output: Contribution to journalConference article

Computational Learning Theory
Upper bound
Regret
Online Learning
Annual
165 Citations (Scopus)

On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms

Yamanishi, K., Takeuchi, J. I. & Williams, G., Dec 1 2000, Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Ramakrishnan, R., Stolfo, S., Bayardo, R., Parsa, I., Ramakrishnan, R., Stolfo, S., Bayardo, R. & Parsa, I. (eds.). p. 320-324 5 p. (Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Health insurance
Intrusion detection
Learning algorithms
Unsupervised learning
Pathology
1998
20 Citations (Scopus)

Asymptotically minimax regret by bayes mixtures

Takeuchi, J. & Barron, A. R., Dec 1 1998, Proceedings - 1998 IEEE International Symposium on Information Theory, ISIT 1998. 1 p. 708923. (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gambling
Regret
Exponential Family
Data compression
Data Compression
3 Citations (Scopus)

Efficient distribution-free population learning of simple concepts

Nakamura, A., Takeuchi, J. & Abe, N., 1998, In : Annals of Mathematics and Artificial Intelligence. 23, 1-2, p. 53-82 30 p.

Research output: Contribution to journalArticle

Distribution-free
Population Size
Voting
Supremum
Polynomials
1997
9 Citations (Scopus)

Characterization of the bayes estimator and the MDL estimator for exponential families

Takeuchi, J. I., Dec 1 1997, In : IEEE Transactions on Information Theory. 43, 4, p. 1165-1174 10 p.

Research output: Contribution to journalArticle

Maximum likelihood
trend
Geometry
coding
mathematics

Low power and compact desktop ATM PMD

Wakayama, Y., Nakano, F., Takeuchi, J., Honda, N., Ishii, K., Sakamoto, T. & Fujii, T., Jan 1 1997, In : Proceedings of the Custom Integrated Circuits Conference. p. 331-334 4 p.

Research output: Contribution to journalConference article

Polarization mode dispersion
Automatic teller machines
Networks (circuits)
Interfaces (computer)
Equalizers
1995
2 Citations (Scopus)

Approximation of Bayes code for Markov sources

Takeuchi, J. & Kawabata, T., 1995, IEEE International Symposium on Information Theory - Proceedings. IEEE, p. 391 1 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bayes
Markov Model
Approximation
Jeffreys Prior
Laplace

Characterization of the Bayes estimator and the MDL estimator for exponential families

Takeuchi, J., 1995, IEEE International Symposium on Information Theory - Proceedings. IEEE, p. 228 1 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bayes Estimator
Maximum likelihood estimation
Exponential Family
Estimator
Jeffreys Prior

Improved sample complexity bounds for parameter estimation

Takeuchi, J., May 1 1995, In : IEICE Transactions on Information and Systems. E78-D, 5, p. 526-531 6 p.

Research output: Contribution to journalConference article

Parameter estimation
Probability distributions
Maximum likelihood