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Eiji Takimoto
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Publications
- 2008
- [c23]Takayuki Sato, Kazuyuki Amano, Eiji Takimoto, Akira Maruoka:
Monotone DNF Formula That Has a Minimal or Maximal Number of Satisfying Assignments. COCOON 2008: 191-203 - 2006
- [j12]Shigeaki Harada, Eiji Takimoto, Akira Maruoka:
Online Allocation with Risk Information. IEICE Trans. Inf. Syst. 89-D(8): 2340-2347 (2006) - [c20]Shigeaki Harada, Eiji Takimoto, Akira Maruoka:
Aggregating Strategy for Online Auctions. COCOON 2006: 33-41 - 2005
- [c19]Shigeaki Harada, Eiji Takimoto, Akira Maruoka:
Online Allocation with Risk Information. ALT 2005: 343-355 - 2004
- [j10]Kenshi Matsuo, Tetsuya Koyama, Eiji Takimoto, Akira Maruoka:
Relationships between Horn Formulas and XOR-MDNF Formulas. IEICE Trans. Inf. Syst. 87-D(2): 343-351 (2004) - [c18]Eiji Takimoto, Syuhei Koya, Akira Maruoka:
Boosting Based on Divide and Merge. ALT 2004: 127-141 - 2003
- [j8]Eiji Takimoto, Akira Maruoka:
Top-down decision tree learning as information based boosting. Theor. Comput. Sci. 292(2): 447-464 (2003) - 2002
- [c16]Akira Maruoka, Eiji Takimoto:
On-Line Algorithm to Predict Nearly as Well as the Best Pruning of a Decision Tree. Progress in Discovery Science 2002: 296-306 - [c15]Eiji Takimoto, Akira Maruoka:
Top-Down Decision Tree Boosting and Its Applications. Progress in Discovery Science 2002: 327-337 - 2001
- [j6]Eiji Takimoto, Akira Maruoka, Volodya Vovk:
Predicting nearly as well as the best pruning of a decision tree through dynamic programming scheme. Theor. Comput. Sci. 261(1): 179-209 (2001) - 2000
- [j5]Eiji Takimoto, Yoshifumi Sakai, Akira Maruoka:
The learnability of exclusive-or expansions based on monotone DNF formulas. Theor. Comput. Sci. 241(1-2): 37-50 (2000) - [c12]Jun Mizuno, Tasuya Watanabe, Kazuya Ueki, Kazuyuki Amano, Eiji Takimoto, Akira Maruoka:
On-Line Estimation of Hidden Markov Model Parameters. Discovery Science 2000: 155-169 - 1999
- [j4]Yoshifumi Sakai, Eiji Takimoto, Akira Maruoka:
Proper Learning Algorithm for Functions of k Terms under Smooth Distributions. Inf. Comput. 152(2): 188-204 (1999) - 1998
- [c10]Akira Maruoka, Eiji Takimoto:
Structured Weight-Based Prediction Algorithms. ALT 1998: 127-142 - [c9]Eiji Takimoto, Akira Maruoka:
On the Boosting Algorithm for Multiclass Functions Based on Information-Theoretic Criterion for Approxiamtion. Discovery Science 1998: 256-267 - 1997
- [j3]Eiji Takimoto, Akira Miyashiro, Akira Maruoka, Yoshifumi Sakai:
Learning Orthogonal F-Horn Formulas. Theor. Comput. Sci. 185(1): 177-190 (1997) - [c8]Eiji Takimoto, Ken'ichi Hirai, Akira Maruoka:
A Simple Algorithm for Predicting Nearly as Well as the Best Pruning Labeled with the Best Prediction Values of a Decision Tree. ALT 1997: 385-400 - 1996
- [c7]Eiji Takimoto, Yoshifumi Sakai, Akira Maruoka:
Learnability of Exclusive-Or Expansion Based on Monotone DNF Formulas. ALT 1996: 12-25 - 1995
- [j2]Eiji Takimoto, Akira Maruoka:
On the Sample Complexity of Consistent Learning with One-Sided Error. IEICE Trans. Inf. Syst. 78-D(5): 518-525 (1995) - [c6]Akira Miyashiro, Eiji Takimoto, Yoshifumi Sakai, Akira Maruoka:
Learning Orthogonal F-Horn Formulas. ALT 1995: 110-122 - [c5]Yoshifumi Sakai, Eiji Takimoto, Akira Maruoka:
Proper Learning Algorithm for Functions of k Terms Under Smooth Distributions. COLT 1995: 206-213 - 1994
- [c4]Eiji Takimoto, Ichiro Tajika, Akira Maruoka:
Mutual Information Gaining Algorithm and Its Relation to PAC-Learning Algorithm. AII/ALT 1994: 547-559 - 1993
- [j1]Eiji Takimoto, Akira Maruoka:
Relationships between learning and information compression based on PAC learning model. Syst. Comput. Jpn. 24(8): 47-58 (1993) - [c3]Eiji Takimoto, Akira Maruoka:
On the Sample Complexity of Consistent Learning with One-Sided Error. ALT 1993: 265-278 - [c2]Eiji Takimoto, Akira Maruoka:
Conservativeness and Monotonicity for Learning Algorithms. COLT 1993: 377-383 - 1991
- [c1]Eiji Takimoto, Akira Maruoka:
Relationships between PAC-learning algorithms and weak Occam algorithms. ALT 1991: 151-162
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