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2020 – today
- 2023
[j8]Takefumi Kawakami
, Takanori Ide, Kunihito Hoki, Masakazu Muramatsu:
Shift Quality Classifier Using Deep Neural Networks on Small Data with Dropout and Semi-Supervised Learning. IEICE Trans. Inf. Syst. 106(12): 2078-2084 (2023)- 2021
- [j7]Moyuru Kurita, Kunihito Hoki:
Method for Constructing Artificial Intelligence Player With Abstractions to Markov Decision Processes in Multiplayer Game of Mahjong. IEEE Trans. Games 13(1): 99-110 (2021) - 2020
- [j6]Takefumi Kawakami, Takanori Ide, Eiji Moriyama, Kunihito Hoki, Masakazu Muramatsu:
Development of Artificial Intelligence to Classify Quality of Transmission Shift Control Using Deep Convolutional Neural Networks. IEEE Trans. Veh. Technol. 69(12): 16168-16172 (2020)
2010 – 2019
- 2019
- [r1]Takenobu Takizawa, Takeshi Ito, Takuya Hiraoka, Kunihito Hoki:
Contemporary Computer Shogi. Encyclopedia of Computer Graphics and Games 2019 - [i1]Moyuru Kurita, Kunihito Hoki:
Method for Constructing Artificial Intelligence Player with Abstraction to Markov Decision Processes in Multiplayer Game of Mahjong. CoRR abs/1904.07491 (2019) - 2017
- [j5]Nobuo Araki, Kunihito Hoki, Satoshi Takahashi, Masakazu Muramatsu:
Improved simulation adjusting. J. Int. Comput. Games Assoc. 39(3-4): 195-204 (2017) - 2016
- [j4]Yuki Sukenari, Kunihito Hoki, Satoshi Takahashi, Masakazu Muramatsu:
Pure Nash equilibria of competitive diffusion process on toroidal grid graphs. Discret. Appl. Math. 215: 31-40 (2016) - 2015
- [c8]Hiroto Takino, Kunihito Hoki:
Human-Like Build-Order Management in StarCraft to Win against Specific Opponent's Strategies. ACIT-CSI 2015: 97-102 - 2014
- [j3]Kunihito Hoki, Tomoyuki Kaneko:
Large-Scale Optimization for Evaluation Functions with Minimax Search. J. Artif. Intell. Res. 49: 527-568 (2014) - [c7]Nobuo Araki, Masakazu Muramatsu, Kunihito Hoki, Satoshi Takahashi:
Monte-Carlo Simulation Adjusting. AAAI 2014: 3094-3095 - 2013
- [j2]Kunihito Hoki, Tomoyuki Kaneko, Akihiro Kishimoto, Takeshi Ito:
Parallel Dovetailing and its Application to Depth-First Proof-Number Search. J. Int. Comput. Games Assoc. 36(1): 22-36 (2013) - [c6]Kunihito Hoki, Tomoyuki Kaneko, Daisaku Yokoyama, Takuya Obata, Hiroshi Yamashita, Yoshimasa Tsuruoka, Takeshi Ito:
A System-Design Outline of the Distributed-Shogi-System Akara 2010. SNPD 2013: 466-471 - 2012
- [j1]Kunihito Hoki, Masakazu Muramatsu:
Efficiency of three forward-pruning techniques in shogi: Futility pruning, null-move pruning, and Late Move Reduction (LMR). Entertain. Comput. 3(3): 51-57 (2012) - [c5]Seiya Omori, Kunihito Hoki, Takeshi Ito:
Performance Analysis of Consultation Methods in Computer Chess. TAAI 2012: 171-175 - 2011
- [c4]Tomoyuki Kaneko, Kunihito Hoki:
Analysis of Evaluation-Function Learning by Comparison of Sibling Nodes. ACG 2011: 158-169 - [c3]Kunihito Hoki, Tomoyuki Kaneko:
The Global Landscape of Objective Functions for the Optimization of Shogi Piece Values with a Game-Tree Search. ACG 2011: 184-195 - 2010
- [c2]Takuya Obata, Takuya Sugiyama, Kunihito Hoki, Takeshi Ito:
Consultation Algorithm for Computer Shogi: Move Decisions by Majority. Computers and Games 2010: 156-165 - [c1]Takuya Sugiyama, Takuya Obata, Kunihito Hoki, Takeshi Ito:
Optimistic Selection Rule Better Than Majority Voting System. Computers and Games 2010: 166-175
Coauthor Index
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