 | G. N. Reeke, Jr -- Synthetic Neural Modelling: Comparisons of Population and Connectionist Approaches - 1989 |
| Gaines, B. R. -- Maryanski’s grammatical inferencer - January 1979 |
| Gaines, Brian R. -- Knowledge Acquisition for Knowledge-Based Systems: Notes on the State-of-the-Art - 1989 |
| Galambos, Janos -- The Asymptotic Theory of Extreme Order Statistics - 1987 |
| Galperin, Igal -- Analysis of greedy expert hiring and an application to memory-based learning - 1996 |
| Gama, João -- Probabilistic linear tree - 1997 |
| Gamarnik, David -- Estimation of time-varying parameters in statistical models; an optimization approach - 1997 |
| Gambardella, Luca M. -- Ant-Q:a reinforcement learning approach to the traveling salesman problem - 1995 |
| Gamble, E. -- Learning a Probability Distribution Efficiently and Reliably - October 1988 |
| Gamble, Evan -- A ‘PAC’ Algorithm for Making Feature Maps - 1991 |
| Gams, M. -- Review of Five Empirical Learning Systems Within a Proposed Schemata - May 1987 |
 | Ganascia, Jean-Gabriel |
| Ganascia, J.-G. -- Algebraic structure of some learning systems - 1993 |
| Gao, Q. -- An application of minimum description length principle to online r ecognition of handprinted alphanumerals - 1989 |
| Garrett, Charles -- On genetic algorithms - 1995 |
| Gasarch, W. |
| Gasarch, W. I. |
| Gasarch, William |
| Gasarch, William I. |
| Gascuel, Olivier |
| Gavaldà, R. |
| Gavaldà, Ricard -- Learning ordered binary decision diagrams - 1995 |
| Geibel, Peter -- Learning relational concepts with decision trees - 1996 |
| Geiger, Dan -- Learning Bayesian networks: the combination of knowledge and statistical data - 1995 |
| Geisser, S. -- The Inferential Use of Predictive Distributions - 1970 |
| Geman, S. -- Stochastic Relaxation Methods for Image Restoration and Expert Systems - 1986 |
| Gemello, Roberto -- Rigel: An Inductive Learning System - 1991 |
| Gennaro, Rosario -- On learning from noisy and incomplete examples - 1995 |
| George, F. H. |
| Georgeff, M. P. -- A General Selection Criterion for Inductive Inference - 1984 |
| Gervasio, Melinda T. -- An incremental learning approach for completable planning - 1994 |
| Gibson, Gavin J. -- Exact classification with two-layer neural nets - 1996 |
| Gil, Y. -- Learning by Experimentation - June 1987 |
| Gil, Yolanda -- Learning by experimentation: incremental refinement of incomplete planning domains - 1994 |
| Giles, C. L. |
| Gillman, D. -- Inference and minimization of hidden Markov chains - 1994 |
| Ginton, G. -- Phoneme Recognition Using Time-Delay Neural Networks - 1987 |
| Giordana, A. -- Learning Controllers for Industrial Robots - 1996 |
| Giordana, Attilio -- Learning disjunctive concepts by means of genetic algorithms - 1994 |
| Giordana, Attilo -- FONN: Combining first order logic with connectionist learning - 1997 |
| Girosi, F. |
| Gish, H. -- Vector Quantization in Speech Coding - November 1985 |
| Glanz, F. H. -- Application of a General Learning Algorithm to the Control of Robotic Manipulators - 1987 |
| Globig, C. -- On Case-Based Representability and Learnability of Languages - 1994 |
| Glover, C. W. -- N-Learners Problem: Fusion of Concepts - September 1991 |
| Glymour, C. |
| Gobleja, D. -- Co-learnability and FIN-identifiability of enumerable classes of total recursive functions - 1994 |
| Goetsch, G. J. -- CONSENSUS: A Statistical Learning Procedure in a Connectionist Network - May 1986 |
| Goetz, Patrick -- On-line adaptation of a signal predistorter through dual reinforcement learning - 1996 |
| Goetze, B. -- Limes-rekursive Funktionen - 1975 |
| Gold, E. M. |
| Gold, M. -- Models of Goal Seeking and Learning - 1965 |
| Goldberg, D. E. |
| Goldberg, P. W. |
| Goldberg, Paul W. |
| Goldberg, David E. -- Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding - 1990 |
| Goldberg, Leslie Ann -- Analysis of a simple learning algorithm: learning foraging thresholds for lizards - 1996 |
| Golding, Andrew R. -- Applying winnow to context-sensitive spelli ng correction - 1996 |
| Goldman, S. |
| Goldman, S. A. |
| Goldman, Sally A. |
| Goldman, -- Noise-Tolerant Distribution-Free Learning of General Geometric Concepts - 1996 |
| Goldreich, Oded |
| Goldszmidt, Moises -- Discretizing continuous attributes while learning Bayesian neworks - 1996 |
| Golea, M. |
| Golea, Mostefa |
| Gonzalez, R. C. -- Syntactic Pattern Recognition, An Introduction - 1978 |
| Gonzalez, R. C. E. J. J. -- An algorithm for the inference of tree grammars - 1976 |
| Gord, E. -- The LISP program for inductive inference on sequences - 1964 |
| Gordon, Diana F. |
| Gordon, Geoffrey J. |
| Gordon, Diana -- For every generalization action is there really an equal and opposite reaction? Analysis of the conservation law for generalization performance - 1995 |
| Gordon, J. -- A Method for Managing Evidential Reasoning in a Hierarchical Hypothesis Space - July 1985 |
| Gori, Marco |
| Gorman, R. P. -- Analysis of Hidden Units in a Layered Network Trained to Classify Sonar Targets - 1988 |
| Gosavi, Abhijit -- Self-improving factory simulation using continuous-time average-reward reinforcement learning - 1997 |
| Grabowski, J. -- Inductive Inference of Functions From Noised Observations - 1986 |
| Graf, H. P. -- A Reconfigurable Analog VLSI Neural Network Chip - 1989 |
| Granger, Jr. Richard H. -- Incremental Learning from Noisy Data - 1986 |
| Grate, L. -- RNA Modeling Using Gibbs Sampling and Stochastic Context Free Grammars - August 1994 |
| Gray, Alexander -- Retrofitting decision tree classifiers using kernel density estimation - 1995 |
| Green, C. -- Inferring LISP programs from example problems - 1975 |
| Greene, David Perry -- Competition-Based Induction of Decision Models from Examples - 1993 |
| Grefenstette, John J. |
| Grefenstette, J. -- Genetic algorithms and machine learning - 1993 |
| Greiner, Russell |
| Greiner, R. -- On the sample complexity of finding good search strategies - 1990 |
| Grenander, U. -- Abstract Inference - 1981 |
| Grolimund, Stephan -- Speeding-up nearest neighbour memories: the template tree case memory organisation - 1996 |
| Group, t. P. R. -- Parallel Distributed Processing - Explorations in the Microstructure of Cognition - 1986 |
| Grove, Adam J. |
| Gruber, Thomas R. -- Automated Knowledge Acquisition for Strategic Knowledge - 1989 |
| Guiho, G. -- Inference of functions with an interactive system - 1979 |
| Guijarro, David |
| Gunopulos, Dimitrios -- Concept learning with geometric hypotheses - 1995 |
| Gupta, Narendra K. -- Learning collection fusion strategies for information retrieval - 1995 |
| Gurvits, Leonid |
| Gurvits, L. -- Rate of approximation results motivated by robust neural network learning - 1993 |
| Gutman, M. -- Universal Prediction of Individual Sequences - 1992 |
| Guyon, I. M. -- A training algorithm for optimal margin classifiers - 1992 |
| Güvenir, H. Altay |
| Gyorgyi, G. -- Inference of a rule by a neural network with thermal noise - 1990 |
| Györgi, G'eza -- Statistical Theory of Learning a Rule - 1990 |