 | Pagallo, G. -- A greedy method for learning -DNF functions under the uniforn distribution - 1989 |
 | Pagallo, Giulia -- Boolean Feature Discovery in Empirical Learning - 1990 |
 | Page, C. D. -- Learnability of Recursive, Non-determinate Theories: Some Basic Results and Techniques - 1993 |
 | Page, David -- Guest Editors’ Introduction - 1997 |
 | Pair, C. -- Inference for Regular Bilanguages - 1978 |
 | Palsberg, Jens -- Efficient inference of partial types - 1994 |
 | Panizza, Sandra |
 | Panizza, S. -- Polynomial uniform convergence and polynomial-sample learnability - 1992 |
 | Pao, T. W. |
 | Papadimitriou, C. -- How to learn in an unknown environment - 1991 |
 | Papadimitriou, C. H. -- Exploring an Unknown Graph - 1990 |
 | Papert, S. -- Perceptrons - 1969 |
 | Parberry, Ian -- Learning with discrete multivalued neurons - 1994 |
 | Parsons, Rebecca J. -- Genetic Algorithms, Operators, and DNA Fragment Assembly - 1995 |
 | Patrick, J. D. -- Coding Decision Trees - 1993 |
 | Paturi, R. |
 | Paz, A. |
 | Pazzani, Michael |
 | Pazzani, Michael J. |
 | Pearl, J. |
 | Pearlmutter, B. A. -- Playing the matching-shoulders lob-pass game with logarithmic regret - 1994 |
 | Pearlmutter, Barak A. -- VC dimension of an integrate-and-fire neuron model - 1996 |
 | Pedersen, Jan O. -- A comparative study on feature selection in text categorization - 1997 |
 | Pendrith, Mark D. -- Actual return reinforcement learning versus temporal differences: some theoretical and experimental results - 1996 |
 | Peng, Jing |
 | Pereira, F. C. N. -- Frequencies vs. biases: machine learning problems in natural language processing - abstract - 1994 |
 | Pereira, Fernando -- An efficient extension to mixture techniques for prediction and decision trees - 1997 |
 | Perrone, Michael P. -- Regression NSS: an alternative to cross validation - 1995 |
 | Persson, S. -- Some Sequence Extrapolating Programs: a Study of Representation and Modeling in Inquiring Systems - 1966 |
 | Perugini, N. -- Neural Network Learning: Effects of Network and Training Set Size - June 1989 |
 | Peterson, C. -- A Mean Field Theory Learning Algorithm for Neural Networks - 1987 |
 | Petry, F. E. -- Speeding up the synthesis of programs from traces - 1975 |
 | Petsche, T. |
 | Pfahringer, Bernhard -- Compression-based discretization of continuous attributes - 1995 |
 | Pfenning, Frank -- Higher-Order and Modal Logic as a Framework for Explanation-Based Generalization - 1992 |
 | Pfleger, Karl |
 | Pilato, Sam -- Learning Syntax by Automata Induction - 1987 |
 | Pillaipakkamnatt, K. |
 | Pinker, S. |
 | Pinter, Charles C. -- Complexity of network training for classes of neural networks - 1995 |
 | Pintér, Márta -- A data dependent skeleton estimate for learning - 1996 |
 | Piola, R. -- Learning Controllers for Industrial Robots - 1996 |
 | Piola, Roberto -- FONN: Combining first order logic with connectionist learning - 1997 |
 | Pitt, L. |
 | Pitt, Leonard |
 | Pivar, M. |
 | Pleszkoch, M. |
 | Pleszkoch, M. G. -- Classification using information - 1994 |
 | Pleszkoch, M. K. -- Learning via queries with teams and anomalies - 1990 |
 | Pleszkoch, Mark -- Learning via Queries, Teams, and Anomalies - 1995 |
 | Plotkin, G. D. |
 | Pölt, S. |
 | Pneuli, A. -- On the learnability of infinitary regular sets - 1991 |
 | Podnieks, K. |
 | Podnieks, K. M. |
 | Poggio, T. |
 | Pollack, Jordan B. -- The Induction of Dynamical Recognizers - 1991 |
 | Pollard, D. -- Convergence of Stochastic Processes - 1984 |
 | Pomerleau, Dean A. |
 | Porat, S. -- Stability and Looping in Connectionist Models with Assymmetric Weights - March 1987 |
 | Porat, Sara -- Learning Automata from Ordered Examples - 1991 |
 | Porter, Bruce W. |
 | Posner, S. E. -- On-line learning of functions of bounded variation under various sampling schemes - 1993 |
 | Powell, M. J. D. -- Radial Basis Functions for Multivariable Interpolation: A Review - 1987 |
 | Prager, Richard W. -- A modular Q-learning architecture for manipulator task decomposition - 1994 |
 | Precup, Doina -- Exponentiated gradient methods for reinforcement learning - 1997 |
 | Pérez, Eduardo |
 | Prieditis, Armand E. -- Machine Discovery of Effective Admissible Heuristics - 1993 |
 | Prince, A. -- On Language and Connectionism: Analysis of a Parallel Distributed Processing Model of Language Acquisition - 1987 |
 | Protasi, M. -- On the Learnability of DNF Formulae - July 1988 |
 | Provan, Gregory M. |
 | Provost, Foster John -- Scaling Up Inductive Learning with Massive Parallelism - 1996 |
 | Provost, John Foster -- Inductive Policy: The Pragmatics of Bias Selection - 1995 |
 | Psaltis, D. |
 | Pudlak, P. -- Complexity of mechanized hypothesis formation - 1979 |
 | Puget, Jean-Francois -- Explicit Representation of Concept Negation - 1994 |
 | Putnam, H. -- Probability and confirmation - 1975 |
 | Pérez, Aurora -- A powerful heuristic for the discovery of complex patterned behavior - 1994 |
 | Pérez, M. Alicia -- representing and learning quality-improving search control knowledge - 1996 |