Kearns, M.J., and Vazirani, U.V., An Introduction to Computational Learning Theory, MIT Press, Cambridge, MA, 1994. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
First 50 documents Next 50
Learning from Data of Variable Quality - Koby Crammer Michael Self-citation (Kearns) (Correct)
No context found.
M. J. Kearns and U. V. Vazirani. An Introduction to Computational Learning Theory. MIT Press, 1994.
Semiparametric Model Selection With Applications To Regression - Zhanlue Zhao Huimin (Correct)
No context found.
Kearns, M.J., and Vazirani, U.V., An Introduction to Computational Learning Theory, MIT Press, Cambridge, MA, 1994.
Journal of Machine Learning Research 7 (2006) 645--664.. - Daniil Ryabko Daniil (Correct)
No context found.
M. Kearns M. and U. Vazirani, An Introduction to Computational Learning Theory. The MIT Press, Cambridge, Massachusetts, 1994.
On the Flexibility of Theoretical Models - For Pattern Recognition (Correct)
No context found.
M. Kearns M. and U. Vazirani. An Introduction to Computational Learning Theory The MIT Press, Cambridge, Massachusetts, 1994.
Toward Attribute Efficient Learning of Decision Lists and.. - Klivans, Servedio (2006) (Correct)
No context found.
M. Kearns and U. Vazirani. An Introduction to Computational Learning Theory. MIT Press, Cambridge, MA, 1994.
On Sample Complexity for Computational - Classification Problems Daniil (Correct)
No context found.
M. Kearns and U. Vazirani. An Introduction to Computational Learning Theory The MIT Press, Cambridge, Massachusetts, 1994.
Detection of Interactive Stepping Stones: - Algorithms And Confidence (Correct)
No context found.
Kearns, M., Vazirani, U.: An Introduction to Computational Learning Theory. MIT Press (1994)
An Augmented PAC Model for SemiSupervised Learning - Balcan, Blum (2005) (Correct)
No context found.
M. Kearns and U. Vazirani. An Introduction to Computational Learning Theory. MIT Press, 1994.
Finding the Most Interesting Patterns in a Database Quickly.. - Scheffer, Wrobel (2002) (1 citation) (Correct)
No context found.
M. Kearns and U. Vazirani. An Introduction to Computational Learning Theory. MIT Press, 1994.
Multiclass Classification with Multi-Prototype Support.. - Aiolli, Sperduti (2005) (Correct)
No context found.
M. J. Kearns and U. V. Vazirani. An Introduction to Computational Learning Theory. MIT Press, 1994.
An Incremental Learning Algorithm with Confidence.. - Polikar, Udpa, Udpa.. (2004) (Correct)
No context found.
M. J. Kearns and U. V. Vazirani, An Introduction to Computational Learning Theory. Cambridge, MA: MIT Press, 1994.
Inductive Generalisation in Case-Based Reasoning Systems - Griffiths (1996) (1 citation) (Correct)
No context found.
M J Kearns and U V Varizani. An Introduction to Computational Learning Theory. MIT Press, 1994.
Ambiguous Chance Constrained Problems And Robust Optimization - Erdogan, Iyengar (2004) (Correct)
No context found.
M. J. Kearns and U. V. Vazirani. An introduction to computational learning theory. MIT Press, Cambridge, MA, 1997.
Applying Learning Algorithms to Preference Elicitation - Lahaie, Parkes (2004) (4 citations) (Correct)
No context found.
M. J. Kearns and U. V. Vazirani. An Introduction to Computational Learning Theory. MIT Press, 1994.
Applying Learning Algorithms to Preference Elicitation in.. - Lahaie, Parkes (2004) (4 citations) (Correct)
No context found.
Michael J. Kearns and Umesh V. Vazirani. An Introduction to Computational Learning Theory. MIT Press, 1994.
Finding the Most Interesting Patterns in a Database Quickly.. - Scheffer, Wrobel (2001) (Correct)
No context found.
M. Kearns and U. Vazirani. An Introduction to Computational Learning Theory. MIT Press, 1994.
Learning to Boost GMM Based Speaker Verification - Stan Li Dong (Correct)
No context found.
M. J. Kearns and U. Vazirani. An Introduction to Computational Learning Theory. MIT Press, Cambridge, MA, 1994.
Phase Transitions and Stochastic Local Search in k-Term.. - Rückert, Kramer, De Raedt (Correct)
No context found.
Kearns, M. J., and Vazirani, U.V. (1994). An introduction to computational learning theory. Cambridge, MA: MIT Press
FloatBoost Learning and Statistical Face Detection - Li, Zhang (2004) (3 citations) (Correct)
No context found.
M.J. Kearns and U. Vazirani, An Introduction to Computational Learning Theory. Cambridge, Mass.: MIT Press, 1994.
FloatBoost Learning for Classification - Li, Zhang, Shum, Zhang (2002) (4 citations) (Correct)
No context found.
M. J. Kearns and U. Vazirani. An Introduction to Computational Learning Theory. MIT Press, Cambridge, MA, 1994.
Probabilistic Finite-State Machines - Part I - Vidal, al. (Correct)
No context found.
M. Kearns and U. Vazirani, An Introduction to Computational Learning Theory. MIT press, 1994.
Reduced Error Pruning of branching programs cannot be.. - Nock, Elomaa, Kääriäinen (2003) (Correct)
No context found.
M.J. Kearns, U.V. Vazirani, An Introduction to Computational Learning Theory, MIT Press, Cambridge, MA, 1994.
Detection of Interactive Stepping Stones: Algorithms and .. - Blum, Song, Venkataraman (Correct)
No context found.
Kearns, M., Vazirani, U.: An Introduction to Computational Learning Theory. MIT Press (1994)
Decision Trees: More Theoretical Justification for Practical.. - Fiat, Pechyony (Correct)
No context found.
M.J. Kearns, U. Vazirani. An Introduction to Computational Learning Theory. The MIT Press, 1994.
FloatBoost Learning and Statistical Face Detection - Li, Zhang (2004) (3 citations) (Correct)
No context found.
M.J. Kearns and U. Vazirani, An Introduction to Computational Learning Theory. Cambridge, Mass.: MIT Press, 1994.
First 50 documents Next 50
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC