| Document Date: 2009-03-28 16:22:33
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Company IBM / Garry Kasparov / / Country United States / / / Facility Supervised Learning Michael Buro NEC Research Institute / NEC Research Institute / / IndustryTerm anthropomorphic solutions / large systems / fullwidth search / large neural networks / e.g. meiosis networks / quiescence search / deep search result / satisfactory solution / feed forward networks / conventional hardware / good solutions / selective search / ordinary hardware / deep search / mini-max algorithms / neural networks / performance applications / shallow search result / shallow search / game-tree search / look-ahead search / selective search heuristic / larger search space / mini-max algorithm / search tasks / search speed / particular applications / brute-force search requiring / heuristic game-tree search / purpose chess chips / search algorithm / search results / / OperatingSystem Linux / / Organization Supervised Learning Michael Buro NEC Research Institute / NEC Research Institute / / Person Garry Kasparov / Hans Berliner / Takeshi Murakami / / / Position author / human player / chess player / Forward / player / front runner / programmer / / Product Othello / / Technology artificial intelligence / search algorithm / Linux / mini-max algorithms / machine learning / purpose chess chips / mini-max algorithm / /
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Improving Heuristic Mini-Max Search by Supervised Learning Michael Buro NEC Research Institute, Princeton NJ 08540, USA 1