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Tag computational-learning [18 articles]

Recent papers classified by the tag computational-learning.
  • A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
    Neural Computation, Vol. In this volume (1989)
    by RJ Williams, D Zipser
    posted to computational-learning learning neural-networks by Scis0000002 on 2007-12-18 23:21:17 as **
  • Symmetries and model minimization of Markov decision processes
    (2001)
    by B Ravindran, A Barto
    posted to computational-learning symmetries by Scis0000002 on 2008-05-09 00:27:17 as **
  • A Concept Formation Based Algorithmic Model for Skill Acquisition
    by Linda Briesemeister, Tobias Scheffer, Fritz Wysotzki
    posted to category-of-skills computational-learning lattice-of-capabilities lattice-of-problems lattice-of-skills problem-solving by Scis0000002 on 2007-07-04 09:27:05 as **
  • Quantum learning and universal quantum matching machine
    Phys. Rev. A, Vol. 66, No. 2. (August 2002), 022303.
    by M Sasaki, A Carlini
    posted to brain-theories computational-learning goedel-machines learning matching quantum-computational-intelligence quantum-computational-learning quantum-computing quantum-learning quantum-matching quantum-reinforcement-learning quantum-searching quantum-strategies by Scis0000002 on 2008-02-01 21:44:26 as **
  • Quantum learning
    (1995)
    by R Chrisley
    posted to computational-learning quantum-computational-learning quantum-computing quantum-learning by Scis0000002 on 2008-02-01 22:01:35 as **
  • Combining active learning with inductive logic programming to close the loop in machine learning
    (1999)
    by S Muggleton, C Bryant, C Page, M Sternberg
    edited by S Colton
    posted to active-learning computational-epistemology computational-learning computational-science experiment-selection hyperefficiency ilp inquiry-calculus metascience robotics by Scis0000002 on 2007-07-30 13:56:03 as **
  • Incremental and Decremental Support Vector Machine Learning
    (2000), pp. 409-415.
    by Gert Cauwenberghs, Tomaso Poggio
    posted to computational-learning decremental incremental kernel-methods by Scis0000002 on 2008-01-29 12:05:46 as **
  • Meta-Learning, Model Selection, and Example Selection in Machine Learning Domains with Concept Drift
    by Ralf Klinkenberg
    posted to computational-learning meta-learning model-selection by Scis0000002 on 2007-07-04 09:23:02 as **
  • Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
    Journal of Machine Learning Research, Vol. 7 (November 2006), pp. 2399-2434.
    by Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
    posted to computational-learning manifolds regularization by Scis0000002 on 2008-01-15 14:44:28 as ** along with 3 people davidr teesid mctor
  • Temporal classification: extending the classification paradigm to multivariate time series
    (2002)
    by Mohammed W Kadous
    posted to classifications classifying computational-learning episodes events multivariate temporal time-series by Scis0000002 on 2008-01-29 11:11:35 as **
  • Learning hierarchical behaviors
    (1998)
    by D Andre
    posted to behaviors computational-learning hierarchies by Scis0000002 on 2008-01-20 02:20:48 as **
  • Coupled Replicator Equations for the Dynamics of Learning in Multiagent Systems
    (18 Aug 2002)
    by Yuzuru Sato, James P Crutchfield
    posted to computational-learning replicator-equations by Scis0000002 on 2008-01-16 13:09:19 as **
  • Tracking Context Changes through Meta-Learning
    Machine Learning, Vol. 27, No. 3. (1 June 1997), pp. 259-286.
    by Gerhard Widmer
    posted to computational-learning contextuality dynamics episodes metalearning by Scis0000002 on 2008-01-11 08:29:59 as **
  • The TACOMA learning architecture for reflective growing of neural networks
    Advances in Neural Networks for Control and Systems, IEE Colloquium on (1994), pp. 2/1-2/2.
    by JM Lange, HM Voigt, D Wolf
    posted to architecture computational-learning by scis0000001 on 2007-04-16 13:14:19 as ** along with 1 person Scis0000002
  • A Proposal for an Abstract Neural Machine
    by Diego Sona
    posted to abstract-neural-machine computational-learning by scis0000001 on 2007-04-16 13:39:09 as ** along with 1 person dcoates
  • Reinforcement Learning in Computational Finance
    by Yazann Romahi
    posted to computational-finance computational-learning machine-learning reinforcement-learning by scis0000001 on 2007-02-18 13:46:48 as **
  • A Hierarchical Community of Experts
    (1997)
    by Geoffrey E Hinton, Brian Sallans, Zoubin Ghahramani
    edited by Michael I Jordan
    posted to computational-learning computational-sociology ensemble experts hierarchy hyper-economy hyperefficiency hypernetwork iff metascience mixture neuroscience optimality organization-theory portfolio principal-agent-theory problem-solving semweb by scis0000001 on 2007-04-16 13:24:31 as ** along with 2 people and 1 group zheaton bpacker vision-ng
  • Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements
    (27 Dec 2004)
    by Juergen Schmidhuber
    posted to adaptability aixi all-logical-theories atp autonomic-computing bias biops chu-space computability-logic computational-epistemology computational-learning computational-mathematics computational-science domain-theory dynamics efficiency formal-development formal-system generalized-kolmogorov-complexity goedel-machine gtm iff inference inference-dynamics interactivity lattice-of-theories least-time machine-learning metaevolution metalogic-programming metalogics metascience model-selection oops optimality paraconsistency problem-solving proof-search reinforcement-learning resource-allocation robotics searching self-adaptation self-managing self-reference semweb speed-prior survivability temporal-logic universal-search universality utility by scis0000001 on 2006-09-15 14:13:48 as ** along with 1 person Scis0000002
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