Kohei Hatano

Shota Yasutake, Kohei Hatano, Eiji Takimoto, Masayuki Takeda: Online Rank Aggregation. Journal of Machine Learning Research - Proceedings Track 25: 539-553 (2012)

Daiki Suehiro, Kohei Hatano, Shuji Kijima, Eiji Takimoto, Kiyohito Nagano: Online Prediction under Submodular Constraints. ALT 2012: 260-274

Yoko Anan, Kohei Hatano, Hideo Bannai, Masayuki Takeda, Ken Satoh: Polyphonic Music Classification on Symbolic Data Using Dissimilarity Functions. ISMIR 2012: 229-234

Shin-ichi Yoshida, Kohei Hatano, Eiji Takimoto, Masayuki Takeda: Adaptive Online Prediction Using Weighted Windows. IEICE Transactions 94-D(10): 1917-1923 (2011)

Daiki Suehiro, Kohei Hatano, Eiji Takimoto: Approximate Reduction from AUC Maximization to 1-Norm Soft Margin Optimization. ALT 2011: 324-337

Shota Yasutake, Kohei Hatano, Shuji Kijima, Eiji Takimoto, Masayuki Takeda: Online Linear Optimization over Permutations. ISAAC 2011: 534-543

Yoko Anan, Kohei Hatano, Hideo Bannai, Masayuki Takeda: Music Genre Classification using Similarity Functions. ISMIR 2011: 693-698

Michinari Momma, Kohei Hatano, Hiroki Nakayama: Ellipsoidal Support Vector Machines. Journal of Machine Learning Research - Proceedings Track 13: 31-46 (2010)

Kazuaki Kashihara, Kohei Hatano, Hideo Bannai, Masayuki Takeda: Sparse Substring Pattern Set Discovery Using Linear Programming Boosting. Discovery Science 2010: 132-143

Liwei Wang, Masashi Sugiyama, Cheng Yang, Kohei Hatano, Jufu Feng: Theory and Algorithm for Learning with Dissimilarity Functions. Neural Computation 21(5): 1459-1484 (2009)

Kohei Hatano, Eiji Takimoto: Linear Programming Boosting by Column and Row Generation. Discovery Science 2009: 401-408

Jun-ichi Moribe, Kohei Hatano, Eiji Takimoto, Masayuki Takeda: Smooth Boosting for Margin-Based Ranking. ALT 2008: 227-239

Kosuke Ishibashi, Kohei Hatano, Masayuki Takeda: Online Learning of Maximum p-Norm Margin Classifiers with Bias. COLT 2008: 69-80

Kazuyuki Narisawa, Hideo Bannai, Kohei Hatano, Shunsuke Inenaga, Masayuki Takeda: String Kernels Based on Variable-Length-Don't-Care Patterns. Discovery Science 2008: 308-318

Hayato Kobayashi, Kohei Hatano, Akira Ishino, Ayumi Shinohara: Reducing Trials by Thinning-Out in Skill Discovery. Discovery Science 2007: 127-138

Kazuyuki Narisawa, Hideo Bannai, Kohei Hatano, Masayuki Takeda: Unsupervised Spam Detection Based on String Alienness Measures. Discovery Science 2007: 161-172

Kohei Hatano: Smooth Boosting Using an Information-Based Criterion. ALT 2006: 304-318

Hideo Bannai, Kohei Hatano, Shunsuke Inenaga, Masayuki Takeda: Practical Algorithms for Pattern Based Linear Regression. Discovery Science 2005: 44-56

Kohei Hatano: A Simple Boosting Algorithm Using Multi-Way Branching Decision Trees. Theory Comput. Syst. 37(4): 503-518 (2004)

Kohei Hatano, Osamu Watanabe: Learning r-of-k Functions by Boosting. ALT 2004: 114-126

Kohei Hatano, Manfred K. Warmuth: Boosting versus Covering. NIPS 2003

Kohei Hatano: A Simpler Analysis of the Multi-way Branching Decision Tree Boosting Algorithm. ALT 2001: 77-91