 | A Tale of Two Classifier Systems - George G. Robertson and Rick L. Riolo - 1988 |
| Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks - R. A. Jacobs, M. A. Jordan and A. G. Barto - March 1990 |
| Task-Structures, Knowledge Acquisition and Learning - B. Chandrasekaran - 1989 |
| TD converges with probability 1 - Peter Dayan and Terrence J. Sejnowski - 1994 |
| TD models: modeling the world at a mixture of time scales - Richard S. Sutton - 1995 |
| Teachability in computational learning - A. Shinohara and S. Miyano - 1991 |
| Teachability in Computational Learning - T. Shinohara - 1991 |
| Teachers, Learners and Black Boxes - Dana Angluin and Mārtiņš Krikis - 1997 |
| Teaching a smarter learner - Sally A. Goldman and H. David Mathias - 1996 |
| Technical and scientific issues of KDD - Yves Kodratoff - 1995 |
| Technical note: an upper bound on the loss from approximate optimal-value functions - Satinder P. Singh and Richard C. Yee - 1994 |
| Technical Note: Bias and the Quantification of Stability - Peter Turney - 1995 |
| Technical note: incremental multi-step Q-learning - Jing Peng and Ronald J. Williams - 1996 |
| Technical Note Q-Learning - Christopher J. C. H. Watkins and Peter Dayan - 1992 |
| Technical Note: Some Properties of Splitting Criteria - Leo Breiman - 1996 |
| Technical note: statistical methods for analyzing speedup learning experiments - Oren Etzioni and Ruth Etzioni - 1994 |
| A technique for upper bounding the spectral norm with applications to learning - M. Bellare - 1992 |
| Techniques using LISP for automatically discovering interesting relations in data - E. Fredkin - 1964 |
| Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning - C. P. Dolan - June 1989 |
| Testing and inductive inference: abstract approaches - J. Cherniavsky and R. Statman - 1987 |
| Testing As A Dual To Learning - K. Romanik - June 1991 |
| Testing finite state machines - M. Yannakakis and D. Lee - 1991 |
| Text categorization and relational learning - William W. Cohen - 1995 |
| Theoretical analysis of the nearest neighbor classifier in noisy domains - Seishi Okamoto and Nobuhiro Yugami - 1996 |
| A theoretical and empirical study of a noise-tolerant algorithm to learn geometric patterns - Sally A. Goldman and Stephen D. Scott - 1996 |
| Theorie der Zeichenerkennung - V. N. Vapnik - 1979 |
| Theory and applications of agnostic PAC-learning with small decision trees - Peter Auer, Robert C. Holte and Wolfgang Maass - 1995 |
| A Theory and Methodology of Inductive Inference - R. S. Michalski - 1986 |
| Theory Change via View Application in Instructionless Learning - Jeff Shrager - 1987 |
| A Theory for Memory-Based Learning - Jyh-Han Lin and Jeffrey Scott Vitter - 1994 |
| A Theory of Historical Discovery: The Construction of Componential Models - Jan M. Zytkow and Herbert A. Simon - 1986 |
| The theory of inductive inference - J. M. Barzdin and K. M. Podnieks - 1973 |
| A Theory of Learning Classification Rules - W. L. Buntine - 1990 |
| A theory of learning simple concepts under simple distributions and average case complexity for the universal distribution - M. Li and P. M. B. Vitanyi - 1989 |
| Theory of Learning: What’s Hard and What’s Easy to Learn - R. L. Rivest - 1991 |
| A Theory of Networks for Approximation and Learning - T. Poggio and F. Girosi - September 1990 |
| A Theory of the Learnable - L. G. Valiant - November 1984 |
| Theory-guided empirical speedup learning of goal decomposition rules - Chandra Reddy, Prasad Tadepalli and Silvana Roncagliolo - 1996 |
| Theory-guided induction of logic programs by inference of regular languages - Henrik Boström - 1996 |
| Therapy plan generation as program synthesis - O. Arnold and K. P. Jantke - 1994 |
| A Thesis in Inductive Inference - R. Wiehagen - 1990 |
| Thoughts on Hypothesis Boosting - M. Kearns - December 1988 |
| Three decades of team learning - C. H. Smith - 1994 |
| Thue systems and DNA - a learning algorithm for a subclass - R. Siromoney, D. G. Thomas, K. G. Subramanian and V. R. Dare - 1993 |
| Tight worst-case loss bounds for predicting with expert advice - David Haussler, Jyrki Kivinen and Manfred K. Warmuth - 1995 |
| To discount or not to discount in reinforcement learning: a case study comparing R learning and Q learning - Sridhar Mahadevan - 1994 |
| Too Much Information Can be too Much for Efficient Learning - R. Wiehagen and T. Zeugmann - 1992 |
| Topics in Learning Theory - M. Kearns and U. Vazirani - 1992 |
| Topics in Statistical Pattern Recognition - T. M. Cover and T. J. Wagner - 1976 |
| Total complexity and the inference of best programs - J. A. Feldman and P. Shields - 1977 |
| Toward a Mathematical Theory of Inductive Inference - L. Blum and M. Blum - June 1975 |
| Toward a model of mind as a laissez-faire economy of idiots - Eric B. Baum - 1996 |
| Toward a Modern Theory of Adaptive Networks: Expectation and Prediction - R. S. Sutton and A. G. Barto - 1981 |
| Toward a Unified Science of Machine Learning - P. Langley - 1989 |
| Toward an ideal trainer - Susan L. Epstein - 1994 |
| Toward efficient agnostic learning - Michael J. Kearns, Robert E. Schapire and Linda M. Sellie - 1994 |
| Toward optimal feature selection - Daphne Koller and Mehran Sahami - 1996 |
| Towards a better understanding of memory-based reasoning systems - John Rachlin, Simon Kasif, Steven Salzberg and David W. Aha - 1994 |
| Towards a DNA sequencing theory learning a string - M. Li - 1990 |
| Towards a more comprehensive theory of learning in computers - P. M. Long - 1992 |
| Towards Chunking as a General Learning Mechanism - J. Laird, P. Rosenbloom and A. Newell - August 1984 |
| Towards efficient inductive synthesis from input/output examples - J. Barzdinš - 1994 |
| Towards efficient inductive synthesis of expressions from input/output examples - J. Barzdins, G. Barzdins, K. Apsitis and U. Sarkans - 1993 |
| Towards learning by abstraction - S. Sakurai and M. Haraguchi - 1992 |
| Towards realistic theories of learning - N. Abe - 1994 |
| Towards representation independence in PAC learning - M. Warmuth - 1989 |
| Towards Representation Independence in PAC-learning - M. K. Warmuth - October 1989 |
| Towards robust model selection using estimation and approximation error bounds - Joel Ratsaby, Ronny Meir and Vitaly Maiorov - 1996 |
| Towards the Development of an Analysis of Learning Algorithms - R. Daley - 1986 |
| Tracking drifting concepts by minimizing disagreements - David P. Helmbold and Philip M. Long - 1994 |
| Tracking drifting concepts using random examples - D. P. Helmbold and P. M. Long - 1991 |
| Tracking the best disjunction - Peter Auer and Manfred Warmuth - 1995 |
| Tracking the best expert - Mark Herbster and Manfred Warmuth - 1995 |
| Trade-Off Among Parameters Affecting Inductive Inference - R. Freivalds, C. H. Smith and M. Velauthapillai - 1989 |
| Tradeoffs in Machine Inductive Inference - K. Chen - 1981 |
| Tradeoffs in the inductive inference of nearly minimal size programs - K. J. Chen - 1982 |
| Trading accuracy for simplicity in decision trees - Marko Bohanec and Ivan Bratko - 1994 |
| Trading monotonicity demands versus efficiency - S. Lange and T. Zeugmann - 1995 |
| Trading Monotonicity Demands versus Mind Changes - S. Lange and T. Zeugmann - 1995 |
| Training a 3-node neural net is NP-Complete - A. Blum and R. L. Rivest - 1989 |
| A training algorithm for optimal margin classifiers - B. E. Boser, I. M. Guyon and V. N. Vapnik - 1992 |
| Training digraphs - H.-C. Tu and C. H. Smith - 1994 |
| Training sequences - D. Angluin, W. Gasarch and C. Smith - 1989 |
| Transfer of Learning by Composing Solutions of Elemental Sequential Tasks - Satinder Pal Singh - 1992 |
| Transformation of probabilistic learning strategies into deterministic learning strategies - R. Daley - 1988 |
| Trees and learning - Wolfgang Merkle and Frank Stephan - 1996 |
| Trial and Error: a New Approach to Space-bounded Learning - F. Ameur, P. Fischer, K. U. Höffgen and F. Meyer auf der Heide - 1994 |
| Two New Frameworks for Learning - B. K. Natarajan and P. Tadepalli - June 1988 |
| Two Theorems on the Limiting Synthesis of Functions - J. M. Barzdin - 1974 |
| Two Variations of Inductive Inference of Languages from Positive Data - T. Tabe and T. Zeugmann - 1995 |
| A typed -calculus for proving-by-example and bottom-up generalization procedure - M. Hagiya - 1993 |
| Typed pattern languages and their learnability - Takeshi Koshiba - 1995 |
| Types of monotonic language learning and their characterization - S. Lange and T. Zeugmann - 1992 |
| Types of noise in data for concept learning - R. Sloan - 1988 |
| Types of queries for concept learning - D. Angluin - June 1986 |