何度読んでも面白い作品

本

• Probability and Stochastic Processes: with a view toward applications
  Leo Breiman, Houghton Mifflin (1969)
• 情報理論, 甘利 俊一, ダイヤモンド社 (1970/09)
• Statistics: with a view toward applications
  Leo Breiman, Houghton Mifflin (1973)
• Pattern Classification and Scene Analysis
  Richard O. Duda, Peter E. Hart, John Wiley & Sons Inc (1973/06)
• 信号処理入門， 佐藤 幸男， オーム社 (1987/01)
• 線形代数, 甘利 俊一, 金谷 健一, 講談社 (1987/05)
• The C Programming Language
  Brian W. Kernighan, Dennis M. Ritchie, Prentice Hall PTR; 2nd edition (1988/03)
• Society of Mind
  Marvin Minsky, Simon & Schuster (1988/03)
• アルゴリズムとデータ構造，石畑 清，岩波書店 (1989/03)
• 神経回路モデルとコネクショニズム， 甘利 俊一，東京大学出版会 (1989/07)
• Elements of Information Theory
  Thomas M. Cover, Joy A. Thomas, Wiley-Interscience (1991/08)
• ワープロ作文技術，木村 泉，岩波書店 (1993/10)
• The Pattern on the Stone: The Simple Ideas that Make Computers Work
  W. Daniel Hillis, Basic Books (1998/10)
• The Practice of Programming
  Brian W. Kernighan, Rob Pike, Addison-Wesley Professional (1999/02)
• Linuxによる画像処理プログラミング，飯尾 淳， オーム社 (2000/04)
• プログラミングのための線形代数， 平岡 和幸，堀 玄， オーム社 (2004/10)
• プログラミングのための確率統計， 平岡 和幸，堀 玄， オーム社 (2009/10)
• 確率論と私， 伊藤 清， 岩波書店（2010/9）
• Rubyで数独 (AIプログラミング入門) ， 佐藤 理史， 近代科学社 (2016/11)

論文・解説

• S. Geman: Notes on a self-organizing machine. In Parallel Models of Associative Memory, (G. E. Hinton and J. A. Anderson, eds.), pp. 237--263, Hillsdale, NJ: Erlbaum, 1981.
• 甘利俊一, 工学と固有値, 数学セミナー, pp.11-16, 1981年12月.
• J. J. Hopfield, D. Feinstein, and R. Palmer: `Unlearning' has a stabilizing effect in collective memories. Nature, vol.304. pp.158-159, 1983.
• 宮下 保司, 海馬の機能, 科学， vol.55, no.7, pp.423-432, 1985.
• D.E. Rumelhart, G.E. Hinton, R. J. Williams: Learning representations by back-propagating errors. Nature, vol.323, pp.533-536, 1986.
• S. Geman: Stochastic relaxation methods for image restoration and expert systems. In Maximum Entropy and Bayesian Methods in Science and Engineering (Vol. 2). Ed. G.J. Erickson and C.R. Smith, Kluwer Academic Publishers, 1988.
• Y. Miyashita : Neuronal correlate of visual associative long-term memory in the primate temporal cortex. Nature, vol.335, pp. 817-820, 1988.
• Y. Miyashita, and H. S. Chang : Neuronal correlate of pictorial short-term memory in the primate temporal cortex. Nature, vol.331, pp. 68-70, 1988.
• M. P. Stryker: Is grandmother an oscillation?, Nature, vol.338, pp.297-298, 1989.
• W. T. Newsome, K. H. Britten, J. A. Movshon: Neuronal correlates of a perceptual decision, Nature, vol.341, pp.52-54, 1989.
• P. Foldiak: Forming sparse representations by local anti-Hebbian learning, Biological Cybernetics, vol. 64, pp. 165-170, 1990.
• M. P. Stryker: Seeing the whole picture, Current Biology, vol.1, pp.252--253, 1991.
• M. P. Stryker: Temporal associations, Nature, vol.354, pp. 108 - 109, 1991.
• P. Foldiak: Learning invariance from transformation sequences, Neural Computation, vol.3, pp.194--200, 1991.
• S. Geman, E. Bienenstock, and R. Doursat. Neural networks and the bias/variance dilemma. Neural Computation, vol.4, pp. 1-58, 1992.
• M. P. Stryker: Elements of visual perception, Nature, vol.360, pp.301-302, 1992.
• 石畑 清， よいプログラム悪いプログラム， 数学セミナ- vol. 31, no.6, pp. 44--47, 1992.
• D.E. Rumelhart: Theory to practice: A case study-recognizing cursive hardwriting. In Proceedings of the Third NEC Research Symposium. SIAM, Philadelphia, PA, pp. 177-196, 1993.
• H. Kunsch, S. Geman, and A. Kehagias, Hidden Markov random fields, Annals of Applied Probability, vol.5, no.3, pp.557-602, 1995.
• T.J. Sejnowski: Sleep and memory, Current Biology, vol.5, pp.832--834, 1995.
• 長岡浩司, 小嶋徹也, 統計的モデルとしてのボルツマンマシン, 計算機統計学, vol.8, no.1, pp.61-81, 1995.
• 武田 光夫， なぜ光学とフーリエ変換か？ 基礎・概念 光技術コンタクト, vol.3 pp.156--163, 1997.
• S. Geman and K. Kochanek. Dynamic programming and the graphical representation of error-correcting codes. IEEE Transactions on Information Theory, vol.47, pp.549-568, 2001.
• S. Geman: Invariance and selectivity in the ventral visual pathway. Journal of Physiology-Paris, vol.100, pp.212-224, 2006.
• J. J. Hopfield: Searching for memories, sudoku, implicit check bits, and the iterative use of not-always-correct rapid neural computation. Neural Computation, vol.20, pp.1119-1164, 2008.

じっくり読まなければ...本棚に飾ってある

本

• Perceptrons - Expanded Edition: An Introduction to Computational Geometry
  Marvin L. Minsky, Seymour A. Papert, The MIT Press (1987/12) 275 pages
• The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind, Marvin Minsky, Simon & Schuster (2006/11) 400 pages
• The Geometry of Biological Time
  Arthur T. Winfree, Springer (2001/06)
• The Fourier Transform & Its Applications
  Ronald N. Bracewell, McGraw-Hill Science/Engineering/Math (1999/06)
• An Introduction to the Psychology of Hearing
  Brian C.J. Moore, Academic Press (2003/01)
• Introduction to Fourier Optics
  Joseph W. Goodman, Roberts & Company Publishers (2004/12)
• Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry and Engineering
  Steven H. Strogatz, Perseus Books Group (2001/01)
• Mathematical Physiology
  James Keener, James Sneyd, Springer (2001/05) 792 pages.
• R. P. Feynman 先生の本多数
• R. W. Hamming 先生の本多数
• G. Strang 先生の本多数

• 伊達のHPへ