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Kenji Yamanishi
Kenji Yamanishi
Verified email at mist.i.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms
K Yamanishi, JI Takeuchi, G Williams, P Milne
Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000
9512000
A unifying framework for detecting outliers and change points from non-stationary time series data
K Yamanishi, J Takeuchi
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
802*2002
Mining product reputations on the web
S Morinaga, K Yamanishi, K Tateishi, T Fukushima
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
6772002
Dynamic syslog mining for network failure monitoring
K Yamanishi, Y Maruyama
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
2882005
Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner
K Yamanishi, J Takeuchi
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
1862001
Tracking dynamics of topic trends using a finite mixture model
S Morinaga, K Yamanishi
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
1692004
Mining open answers in questionnaire data
K Yamanishi, H Li
IEEE Intelligent Systems 17 (5), 58-63, 2002
169*2002
A learning criterion for stochastic rules
K Yamanishi
Machine Learning 9, 165-203, 1992
1651992
Discovering emerging topics in social streams via link-anomaly detection
T Takahashi, R Tomioka, K Yamanishi
IEEE Transactions on Knowledge and Data Engineering 26 (1), 120-130, 2012
1402012
Topic analysis using a finite mixture model
H Li, K Yamanishi
Information processing & management 39 (4), 521-541, 2003
1392003
A decision-theoretic extension of stochastic complexity and its applications to learning
K Yamanishi
IEEE Transactions on Information Theory 44 (4), 1424-1439, 1998
1331998
Detection of longitudinal visual field progression in glaucoma using machine learning
S Yousefi, T Kiwaki, Y Zheng, H Sugiura, R Asaoka, H Murata, H Lemij, ...
American journal of ophthalmology 193, 71-79, 2018
1172018
Document classification method and apparatus therefor
H Li, K Yamanishi
US Patent 6,094,653, 2000
1162000
Text classification using ESC-based stochastic decision lists
H Li, K Yamanishi
Proceedings of the eighth international conference on Information and …, 1999
1041999
Detection of abnormal behavior using probabilistic distribution estimation
Y Matsunaga, K Yamanishi
US Patent 7,561,991, 2009
742009
Distributed cooperative Bayesian learning strategies
K Yamanishi
Proceedings of the tenth annual conference on Computational learning theory …, 1997
721997
Network anomaly detection based on eigen equation compression
S Hirose, K Yamanishi, T Nakata, R Fujimaki
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
702009
Document classification using a finite mixture model
H Li, K Yamanishi
arXiv preprint cmp-lg/9705005, 1997
661997
Efficient computation of normalized maximum likelihood codes for Gaussian mixture models with its applications to clustering
S Hirai, K Yamanishi
IEEE Transactions on Information Theory 59 (11), 7718-7727, 2013
63*2013
データマイニングによる異常検知
山西健司
共立出版 37 (3), 13-44, 2009
572009
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