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Masanori Kawakita
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2020 – today
- 2020
- [j6]Masanori Kawakita
, Jun'ichi Takeuchi
Minimum Description Length Principle in Supervised Learning With Application to Lasso. IEEE Trans. Inf. Theory 66(7): 4245-4269 (2020)
2010 – 2019
- 2019
- [c10]Chansu Han
Real-Time Detection of Malware Activities by Analyzing Darknet Traffic Using Graphical Lasso. TrustCom/BigDataSE 2019: 144-151 - 2018
- [c9]Munenori Eto, Masanori Kawakita, Jun'ichi Takeuchi:
Asymptotic Behavior of Typical Sets and the Smallest High Probability Set. ISITA 2018: 717-721 - 2017
- [j5]Masanori Kawakita
A note on model selection for small sample regression. Mach. Learn. 106(11): 1839-1862 (2017) - 2016
- [c8]Masanori Kawakita, Jun'ichi Takeuchi:
Barron and Cover's Theory in Supervised Learning and its Application to Lasso. ICML 2016: 1958-1966 - [c7]Chansu Han
Botnet Detection Using Graphical Lasso with Graph Density. ICONIP (1) 2016: 537-545 - [c6]Shoma Tanaka, Yuki Kawamura, Masanori Kawakita, Noboru Murata
MDL Criterion for NMF with Application to Botnet Detection. ICONIP (1) 2016: 570-578 - [i1]Masanori Kawakita, Jun'ichi Takeuchi:
Minimum Description Length Principle in Supervised Learning with Application to Lasso. CoRR abs/1607.02914 (2016) - 2014
- [j4]Masanori Kawakita, Jun'ichi Takeuchi:
Safe semi-supervised learning based on weighted likelihood. Neural Networks 53: 146-164 (2014) - [j3]Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi:
Least Squares Superposition Codes With Bernoulli Dictionary are Still Reliable at Rates up to Capacity. IEEE Trans. Inf. Theory 60(5): 2737-2750 (2014) - 2013
- [j2]Masanori Kawakita, Takafumi Kanamori:
Semi-supervised learning with density-ratio estimation. Mach. Learn. 91(2): 189-209 (2013) - [c5]Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi:
Least squares superposition codes with Bernoulli dictionary are still reliable at rates up to capacity. ISIT 2013: 1396-1400 - 2012
- [c4]Kotaro Yamaguchi, Masanori Kawakita, Norikazu Takahashi
Information Theoretic Limit of Single-Frame Super-Resolution. EST 2012: 82-85 - [c3]Sayaka Yamauchi, Masanori Kawakita, Jun'ichi Takeuchi:
Botnet Detection Based on Non-negative Matrix Factorization and the MDL Principle. ICONIP (5) 2012: 400-409 - 2011
- [c2]Masanori Kawakita, Ryota Izumi, Jun'ichi Takeuchi, Yi Hu, Tetsuya Takamori, Hirokazu Kameyama:
Acceleration technique for boosting classification and its application to face detection. ACML 2011: 335-349 - 2010
- [c1]Masanori Kawakita, Yoko Oie, Jun'ichi Takeuchi:
A note on model selection for small sample regression. ISITA 2010: 112-117
2000 – 2009
- 2008
- [j1]Masanori Kawakita, Shinto Eguchi
Boosting Method for Local Learning in Statistical Pattern Recognition. Neural Comput. 20(11): 2792-2838 (2008)
Coauthor Index
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