| **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 |