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dpf's machine-learning [19 articles]

Recent papers added to dpf's library classified by the tag machine-learning. You can also see everyone's machine-learning.
  • Estimating the Lengths of Memory Words
    Information Theory, IEEE Transactions on, Vol. 54, No. 8. (2008), pp. 3804-3807.
    by G Morvai, B Weiss
    posted to machine-learning statistical-inference time-series-analysis by dpf on 2008-07-30 22:24:51 as **
  • The information bottleneck method
    (1999), pp. 368-377.
    by N Tishby, F Pereira, W Bialek
    posted to information-bottleneck information-theory machine-learning statistical-inference by dpf on 2008-07-15 08:58:24 as ** along with 14 people and 4 groups yaroslavvb geomblog gangli yiqingtu thsant mhay ajbattle sdvillal anon_pl 223rem vlachmore delip markusd i-stevenson tulip kdl DataMining vision-ng
  • Optimal Causal Inference
    (11 Aug 2007)
    by Susanne Still, James P Crutchfield, Christopher J Ellison
    posted to computational-mechanics machine-learning statistical-inference by dpf on 2008-06-28 12:30:56 as ** along with 2 people quianominorleo jrw
  • How many clusters? An information theoretic perspective
    (14 May 2004)
    by Susanne Still, William Bialek
    posted to information-bottleneck information-theory machine-learning statistical-inference by dpf on 2008-06-28 12:29:40 as ** along with 2 people quianominorleo geomblog
  • Structure or Noise?
    (5 Aug 2007)
    by Susanne Still, James P Crutchfield
    posted to computational-mechanics machine-learning statistical-inference by dpf on 2008-06-28 12:28:39 as ** along with 2 people ansobol proportional
  • The Statistical Mechanics of Learning a Rule
    Rev. Mod. Phys., Vol. 65 (1993), pp. 499-556.
    by TLH Watkin, A Rau, M Biehl
    posted to machine-learning by dpf on 2008-02-23 03:58:28 as **
  • Computational Agents That Learn About Agents: Algorithms for Their Design and a Predictive Theory of Their Behavior
    (1998)
    by JM Vidal
    posted to machine-learning by dpf on 2008-02-23 03:58:27 as **
  • notes Predicting the expected behavior of agents that learn about agents: the CLRI framework
    (2000)
    by JM Vidal, EH Durfee
    posted to machine-learning by dpf on 2008-02-23 03:58:27 as **
  • The Nature of Statistical Learning Theory
    (1995)
    by VN Vapnik
    posted to machine-learning by dpf on 2008-02-23 03:58:27 as **
  • Disordered environments in spatial games
    Physical Review E, Vol. 64 (2001)
    by MH Vainstein, JJ Arenzon
    posted to disordered-cellular-automata game-theory machine-learning by dpf on 2008-02-23 03:58:27 as **
  • Rapid Acquisition Sequences
    IEEE Trans. Info Th., Vol. IT-14 (1968), pp. 221-225.
    by JJ Stiller
    posted to information-theory machine-learning by dpf on 2008-02-23 03:58:26 as **
  • On-line Learning in Soft Committee Machines
    Phys. Rev. E, Vol. 52 (1995), pp. 4225-4243.
    by D Saad, SA Solla
    posted to machine-learning by dpf on 2008-02-23 03:58:23 as **
  • The induction of dynamical recognizers
    Machine Learning (1991)
    by JB Pollack
    posted to machine-learning statistical-inference by dpf on 2008-02-23 03:58:22 as **
  • Probabilistic Reasoning in Intelligent Systems
    (1988)
    by J Pearl
    posted to machine-learning probability by dpf on 2008-02-23 03:58:22 as **
  • Information Theory and Learning: A Physical Approach
    (2000)
    by I Nemenman
    posted to complexity-measures information-theory machine-learning by dpf on 2008-02-23 03:58:20 as **
  • Machine Learning, Neural and Statistical Classification
    (1994)
    edited by D Michie, D Spiegelhalter, CC Taylor
    posted to machine-learning neural-networks by dpf on 2008-02-23 03:58:19 as **
  • An Introduction to Computational Learning Theory
    (1994)
    by MJ Kearns, UV Vazirani
    posted to machine-learning by dpf on 2008-02-23 03:58:15 as **
  • notes Complexity Through Nonextensivity
    Physica A, Vol. 302 (2001), pp. 89-99.
    by Nemenman, N Tishby
    posted to complexity-measures entropy entropy-convergence machine-learning by dpf on 2008-02-23 03:58:06 as **
  • notes Predictability, Complexity, and Learning
    Neural Computation, Vol. 13 (2001), pp. 2409-2463.
    by W Bialek, I Nemenman, N Tishby
    posted to complexity-measures entropy entropy-convergence machine-learning by dpf on 2008-02-23 03:58:06 as **
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