- 1992
- Howard Aizenstein, Leonard Pitt:
Exact Learning of Read-k Disjoint DNF and Not-So-Disjoint DNF. COLT 1992: 71-76 - Svetlana Anoulova, Paul Fischer, Stefan Pölt, Hans Ulrich Simon
:
PAB-Decisions for Boolean and Real-Valued Features. COLT 1992: 353-362 - Martin Anthony
, Graham R. Brightwell, David A. Cohen, John Shawe-Taylor
:
On Exact Specification by Examples. COLT 1992: 311-318 - Hiroki Arimura, Hiroki Ishizaka, Takeshi Shinohara:
Polynomial Time Inference of a Subclass of Context-Free Transformations. COLT 1992: 136-143 - Peter L. Bartlett:
Learning With a Slowly Changing Distribution. COLT 1992: 243-252 - Mihir Bellare:
A Technique for Upper Bounding the Spectral Norm with Applications to Learning. COLT 1992: 62-70 - Shai Ben-David, Nicolò Cesa-Bianchi, Philip M. Long:
Characterizations of Learnability for Classes of {O, ..., n}-Valued Functions. COLT 1992: 333-340 - Gyora M. Benedek, Alon Itai:
Dominating Distributions and Learnability. COLT 1992: 253-264 - Ethan Bernstein:
Absolute Error Bounds for Learning Linear Functions Online. COLT 1992: 160-163 - Alberto Bertoni, Paola Campadelli, Anna Morpurgo, Sandra Panizza:
Polynomial Iniform Convergence and Polynomial-Sample Learnability. COLT 1992: 265-271 - Avrim Blum, Prasad Chalasani:
Learning Switching Concepts. COLT 1992: 231-242 - Bernhard E. Boser, Isabelle Guyon, Vladimir Vapnik:
A Training Algorithm for Optimal Margin Classifiers. COLT 1992: 144-152 - Nader H. Bshouty, Thomas R. Hancock, Lisa Hellerstein:
Learning Boolean Read-Once Formulas with Arbitrary Symmetric and Constant Fan-in Gates. COLT 1992: 1-15 - Kevin Buescher, P. R. Kumar:
Learning Stochastic Functions by Smooth Simultaneous Estimation. COLT 1992: 272-279 - John Case, Sanjay Jain, Arun Sharma:
On Learning Limiting Programs. COLT 1992: 193-202 - Zhixiang Chen, Wolfgang Maass:
On-line Learning of Rectangles. COLT 1992: 16-28 - Peter Cholak, Efim B. Kinber, Rodney G. Downey, Martin Kummer, Lance Fortnow, Stuart A. Kurtz, William I. Gasarch, Theodore A. Slaman:
Degrees of Inferability. COLT 1992: 180-192 - William W. Cohen, Haym Hirsh:
Learnability of Description Logics. COLT 1992: 116-127 - Robert P. Daley, Bala Kalyanasundaram, Mahendran Velauthapillai:
Breaking the Probability 1/2 Barrier in FIN-Type Learning. COLT 1992: 203-217 - Saso Dzeroski
, Stephen H. Muggleton, Stuart Russell:
PAC-Learnability of Determinate Logic Programs. COLT 1992: 128-135 - Michele Flammini, Alberto Marchetti-Spaccamela, Ludek Kucera:
Learning DNF Formulae Under Classes of Probability Distributions. COLT 1992: 85-92 - Rusins Freivalds, Carl H. Smith:
On the Role of Procrastination for Machine Learning. COLT 1992: 363-376 - Yoav Freund:
An Improved Boosting Algorithm and Its Implications on Learning Complexity. COLT 1992: 391-398 - Sally A. Goldman, H. David Mathias:
Learning k-Term DNF Formulas with an Incomplete Membership Oracle. COLT 1992: 77-84 - David P. Helmbold, Manfred K. Warmuth:
Some Weak Learning Results. COLT 1992: 399-412 - Klaus-Uwe Höffgen, Hans Ulrich Simon
:
Robust Trainability of Single Neurons. COLT 1992: 428-439 - Jeffrey C. Jackson, Andrew Tomkins:
A Computational Model of Teaching. COLT 1992: 319-326 - Klaus P. Jantke:
Case-Based Learning in Inductive Inference. COLT 1992: 218-223 - Shyam Kapur, Gianfranco Bilardi:
Language Learning from Stochastic Input. COLT 1992: 303-310 - Michael J. Kearns, Robert E. Schapire, Linda Sellie:
Toward Efficient Agnostic Learning. COLT 1992: 341-352