Search Results

The Veterans Learning to Improve Fitness and Function in Elders Study: A Randomized Trial of Primary Care-Based Physical Activity Counseling For Older Men

Authors: Morey, Miriam C.; Peterson, Matthew J.; Pieper, Carl F.; Sloane, Richard; Crowley, Gail M.; Cowper, Patricia A.; McConnell, Eleanor S.; Bosworth, Hayden B.; Ekelund, Carola C.; Pearson, Megan P.

Source: Journal of the American Geriatrics Society, Volume 57, Number 7, July 2009 , pp. 1166-1174(9)

Publisher: Blackwell Publishing

LEARNING TO SOLVE PROBLEMS FROM EXERCISES

Author: Tadepalli, Prasad

Source: Computational Intelligence, Volume 24, Number 4, November 2008 , pp. 257-291(35)

Publisher: Blackwell Publishing

A new PAC bound for intersection-closed concept classes

Authors: Auer, Peter; Ortner, Ronald

Source: Machine Learning, Volume 66, Numbers 2-3, March 2007 , pp. 151-163(13)

Publisher: Springer

Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers

Authors: Greiner, Russell; Su, Xiaoyuan; Shen, Bin; Zhou, Wei

Source: Machine Learning, Volume 59, Number 3, June 2005 , pp. 297-322(26)

Publisher: Springer

PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification

Authors: Graepel, Thore; Herbrich, Ralf; Shawe-Taylor, John

Source: Machine Learning, Volume 59, Numbers 1-2, May 2005 , pp. 55-76(22)

Publisher: Springer

A Fixed-Distribution PAC Learning Theory for Neural FIR Models

Author: Najarian, Kayvan

Source: Journal of Intelligent Information Systems, Volume 25, Number 3, November 2005 , pp. 275-291(17)

Publisher: Springer

Probabilistic Logic and Induction

Author: Terwijn, Sebastiaan A.

Source: Journal of Logic and Computation, Volume 15, Number 4, August 2005 , pp. 507-515(9)

Publisher: Oxford University Press

Worst Case and a Distribution-Based Case Analyses of Sampling for Rule Discovery Based on Generality and Accuracy: Special Issue: Foundations and Advances in Data Mining (Guest Editors: Wesley Chu and T.Y. Lin)

Author: Einoshin Suzuki

Source: Applied Intelligence, Volume 22, Number 1, January 2005 , pp. 29-36(8)

Publisher: Springer

Improved Bounds on Quantum Learning Algorithms

Authors: Atici, Alp; Servedio, Rocco

Source: Quantum Information Processing, Volume 4, Number 5, November 2005 , pp. 355-386(32)

Publisher: Springer

Learnability and Definability in Trees and Similar Structures

Authors: Grohe, Martin; Turán, Gy.

Source: Theory of Computing Systems, Volume 37, Number 1, January 2004 , pp. 193-220(28)

Publisher: Springer

Efficient algorithms for learning functions with bounded variation

Author: Long P.M.

Source: Information and Computation, Volume 188, Number 1, 10 January 2004 , pp. 99-115(17)

Publisher: Elsevier

Functional Validation in Grid Computing

Authors: Jiang G.; Cybenko G.

Source: Autonomous Agents and Multi-Agent Systems, Volume 8, Number 2, March 2004 , pp. 119-130(12)

Publisher: Springer

Uniform-distribution attribute noise learnability

Authors: Bshouty N.H.; Jackson J.C.; Tamon C.

Source: Information and Computation, Volume 187, Number 2, 15 December 2003 , pp. 277-290(14)

Publisher: Elsevier

Learnability and rationality of choice

Author: Kalai G.

Source: Journal of Economic Theory, Volume 113, Number 1, November 2003 , pp. 104-117(14)

Publisher: Elsevier

The monotone theory for the PAC-model

Author: Bshouty N.H.

Source: Information and Computation, Volume 186, Number 1, 10 October 2003 , pp. 20-35(16)

Publisher: Elsevier

An upper bound on the sample complexity of PAC-learning halfspaces with respect to the uniform distribution

Author: Long P.M.

Source: Information Processing Letters, Volume 87, Number 5, 15 September 2003 , pp. 229-234(6)

Publisher: Elsevier

On the Efficiency of Noise-Tolerant PAC Algorithms Derived from Statistical Queries

Author: Jackson J.

Source: Annals of Mathematics and Artificial Intelligence, Volume 39, Number 3, November 2003 , pp. 291-313(23)

Publisher: Springer

PAC learning of probability distributions over a discrete domain

Authors: Magnoni L.; Mirolli M.; Montagna F.; Simi G.

Source: Theoretical Computer Science, Volume 299, Number 1, 18 April 2003 , pp. 37-63(27)

Publisher: Elsevier

Microchoice Bounds and Self Bounding Learning Algorithms

Authors: Langford J.; Blum A.

Source: Machine Learning, Volume 51, Number 2, May 2003 , pp. 165-179(15)

Publisher: Springer

Learning elementary formal systems with queries

Authors: Sakamoto H.; Hirata K.; Arimura H.

Source: Theoretical Computer Science, Volume 298, Number 1, 4 April 2003 , pp. 21-50(30)

Publisher: Elsevier