A A general model of learning.................................... 2 B Types of learning system...................................... 4 II Knowledge-free inductive learning systems................................ 5
|
4387
|
Probabilistic Reasoning in Intelligent Systems
– Pearl
- 1988
|
|
3214
|
C4.5: Programs for Machine Learning
– Quinlan
- 1993
|
|
2677
|
Communicating Sequential Processes
– Hoare
- 1995
|
|
2488
|
Induction of Decision Trees
– Quinlan
- 1986
|
|
2438
|
Classification and Regression Trees
– Breiman, Friedman, et al.
- 1984
|
|
1523
|
Authoritative sources in a hyperlinked environment
– Kleinberg
- 1999
|
|
1390
|
Introduction to the theory of neural computation
– Hertz, Krogh, et al.
- 1991
|
|
1364
|
A theory of the learnable
– Valiant
- 1984
|
|
1083
|
Introduction to Kolmogorov Complexity and Its Applications
– Li, Vitanyi
- 1993
|
|
885
|
Learning to Predict by the Methods of Temporal Differences
– Sutton
- 1988
|
|
860
|
Head-Driven Phrase Structure Grammar
– Pollard, Sag
- 1994
|
|
843
|
Efficient induction of logic programs
– Muggleton, Feng
- 1990
|
|
792
|
Instance-Based Learning Algorithms
– Kibler
- 1991
|
|
747
|
Learning logical definitions from relations
– Quinlan
- 1990
|
|
674
|
E: A Bayesian method for the induction of probabilistic networks from data
– GF, Herskovits
- 1992
|
|
637
|
Estinwtion of Dependences Based on Empirical Data
– Vapnik
- 1982
|
|
624
|
Language identification in the limit
– Gold
- 1967
|
|
593
|
Collective dynamics of small-world networks
– Watts, Strogatz
- 1998
|
|
536
|
Learnability and the Vapnik-Chervonenkis Dimension
– Blumer, Ehrenfeucht, et al.
- 1989
|
|
527
|
Knowledge acquisition via incremental conceptual clustering
– Fisher
- 1987
|
|
471
|
Explanationbased generalization: a unifying view
– Mitchell, Keller, et al.
- 1986
|
|
469
|
Some studies in machine learning using the game of checkers
– Samuel
- 1959
|
|
458
|
The architecture of cognition
– Anderson
- 1983
|
|
426
|
Optimality theory: constraint interaction in generative grammar
– Prince, Smolensky
- 1993
|
|
415
|
A maximization technique occurring in statistical analysis of probabilistic functions of Markov chains
– Baum, Petrie, et al.
- 1970
|
|
396
|
The Evolution of Cooperation. Basic
– Axelrod
- 1984
|
|
384
|
Monitors: an operating system structuring concept
– Hoare
- 1974
|
|
348
|
Learning and executing generalized robot plans
– Fikes, Hart, et al.
- 1972
|
|
305
|
The Sound Pattern of English
– Chomsky, Halle
- 1968
|
|
293
|
Dynamic Programming: Deterministic and Stochastic Models
– Bertsekas
- 1987
|
|
279
|
Quantitative results concerning the utility of explanation-based learning
– Minton
- 1988
|
|
241
|
Markov Chains and Stochastic Stability
– Meyn, Tweedie
- 1993
|
|
239
|
Prioritized sweeping: Reinforcement learning with less data and less real time
– Moore, Atkeson
- 1993
|
|
236
|
Cooperating Sequential Processes
– DIJKSTRA
- 1968
|
|
234
|
Neural Network Perception for Mobile Robot Guidance
– Pomerleau
- 1993
|
|
230
|
Chunking in Soar: The anatomy of a general learning mechanism
– Laird, Rosenbloom, et al.
- 1986
|
|
212
|
AutoClass: A Bayesian classification system
– Cheeseman, Kelly, et al.
- 1988
|
|
202
|
Image Retrieval: Current Techniques, Promising Directions And Open Issues
– Rui, Huang, et al.
- 1999
|
|
188
|
The Antisymmetry of Syntax
– Kayne
- 1994
|
|
165
|
On language and connectionism: Analysis of a parallel distributed processing model of language acquisition
– Pinker, Prince
- 1988
|
|
159
|
Systems that Learn, An Introduction to Learning Theory for Cognitive and Computer Scientists
– Osherson, Stob, et al.
- 1986
|
|
156
|
Sequential updating of conditional probabilities on directed graphical structures
– Spiegelhalter, Lauritzen
- 1990
|
|
154
|
Machine invention of first-order predicates by inverting resolution
– Muggleton, Buntine
- 1988
|
|
150
|
Connectionist learning of belief networks
– Neal
- 1992
|
|
134
|
Toward a universal law of generalization for psychological science
– Shepard
- 1987
|
|
122
|
Phonology and syntax: The relation between sound and structure
– Selkirk
- 1984
|
|
119
|
Machine learning: a theoretical approach
– Natarajan
- 1991
|
|
112
|
BOXES: An experiment in adaptive control
– Michie, Chambers
- 1968
|
|
111
|
Bandit Problems: Sequential Allocation of Experiments
– Berry, Fristedt
- 1985
|
|
111
|
Inflectional morphology
– Anderson
- 1985
|
|
