Inductive logic databases : From extensional to intensional knowledgeFLACH, P. A.Lecture notes in computer science. 1997, Vol 1341, issn 0302-9743, isbn 3-540-63792-3, p. 3Conference Paper

The study on algorithm AE₁₁ of learning from examplesHAIYI ZHANG; JIANDONG BI; BACK, Barbro et al.Lecture notes in computer science. 2003, pp 134-147, issn 0302-9743, isbn 3-540-40455-4, 14 p.Conference Paper

Finding a minimal 1-DNF consistent with a positive sample is LOGSNP-completeDENIS, F.Information processing letters. 1999, Vol 69, Num 1, pp 1-5, issn 0020-0190Article

A Greedy Randomized Adaptive Search Procedure (GRASP) for inferring logical clauses from examples in polynomial time and some extensionsDESHPANDE, A. S; TRIANTAPHYLLOU, E.Mathematical and computer modelling. 1998, Vol 27, Num 1, pp 75-99, issn 0895-7177Article

Setting attribute weights for nearest neighbor learning algorithms using C4.5LING, C. X; PARRY, J. J; WANG, H et al.International journal of pattern recognition and artificial intelligence. 1997, Vol 11, Num 3, pp 405-415, issn 0218-0014Article

A note on the Regularization AlgorithmJAWORSKI, Wojciech.Lecture notes in computer science. 2004, pp 235-243, issn 0302-9743, isbn 3-540-22117-4, 9 p.Conference Paper

Computational learning theory (Nordkirchen, 29-31 March 1999)Fischer, Paul; Simon, Hans Ulrich.Lecture notes in computer science. 1999, issn 0302-9743, isbn 3-540-65701-0, X, 299 p, isbn 3-540-65701-0Conference Proceedings

Argument-Based Machine LearningBRATKO, Ivan; MOZINA, Martin; ZABKAR, Jure et al.Lecture notes in computer science. 2006, pp 11-17, issn 0302-9743, isbn 3-540-45764-X, 1Vol, 7 p.Conference Paper

Learning preference relations from dataEVGNIOU, Theodoros; PONTIL, Massimiliano.Lecture notes in computer science. 2002, pp 23-32, issn 0302-9743, isbn 3-540-44265-0, 10 p.Conference Paper

On Bayesian case matchingKONTKANEN, P; MYLLYMÄKI, P; SILANDER, T et al.Lecture notes in computer science. 1998, pp 13-24, issn 0302-9743, isbn 3-540-64990-5Conference Paper

Self-similarity in networks that learn by examplesVAN DEN BROECK, C; BEX, G. J.Philosophical magazine. B. Physics of condensed matter. Statistical mechanics, electronic, optical and magnetic properties. 1998, Vol 77, Num 5, pp 1479-1486, issn 1364-2812Conference Paper

A geometric approach to leveraging weak learnersDUFFY, N; HELMBOLD, D.Lecture notes in computer science. 1999, pp 18-33, issn 0302-9743, isbn 3-540-65701-0Conference Paper

Towards a better understanding of incremental learningJAIN, Sanjay; LANGE, Steffen; ZILLES, Sandra et al.Lecture notes in computer science. 2006, pp 169-183, issn 0302-9743, isbn 3-540-46649-5, 1Vol, 15 p.Conference Paper

Evaluating the effects of distance metrics on a NGE-based systemBAGGIO FIGUEIRA, Lucas; DO CARMO NICOLETTI, Maria.International Conference on Systems, Man and Cybernetics. 2004, isbn 0-7803-8566-7, vol4, 3395-3401Conference Paper

Hardness results for neural network approximation problemsBARTLETT, P; BEN-DAVID, S.Lecture notes in computer science. 1999, pp 50-62, issn 0302-9743, isbn 3-540-65701-0Conference Paper

Genetic algorithms in constructive inductionJELONEK, J; KOMOSINSKI, M.Lecture notes in computer science. 1999, pp 665-673, issn 0302-9743, isbn 3-540-65965-XConference Paper

Building compact competent case-basesSMYTH, B; MCKENNA, E.Lecture notes in computer science. 1999, pp 329-342, issn 0302-9743, isbn 3-540-66237-5Conference Paper

UIB-IK : A computer system for decision Trees inductionFIOL-ROIG, G.Lecture notes in computer science. 1999, pp 601-611, issn 0302-9743, isbn 3-540-65965-XConference Paper

Categorizing case-base maintenance : Dimensions and directionsLEAKE, D. B; WILSON, D. C.Lecture notes in computer science. 1998, pp 196-207, issn 0302-9743, isbn 3-540-64990-5Conference Paper

Les schémas mentaux : Représenter et maintenir une connaissance apprise = Mental schemes : how to represent and maintain a learned knowledgePIERRE, D.Mathématiques, informatique et sciences humaines. 1997, Num 139, pp 37-68, issn 0995-2314Article

Learning from positive and unlabeled examples with different data distributionsLI, Xiao-Li; BING LIU.Lecture notes in computer science. 2005, pp 218-229, issn 0302-9743, isbn 3-540-29243-8, 1Vol, 12 p.Conference Paper

On the data consumption benefits of accepting increased uncertaintyMARTIN, Eric; SHARMA, Arun; STEPHAN, Frank et al.Lecture notes in computer science. 2004, pp 83-98, issn 0302-9743, isbn 3-540-23356-3, 16 p.Conference Paper

A fuzzy measure of similarity for instance-based learningBOTANA, F.Lecture notes in computer science. 1999, pp 439-447, issn 0302-9743, isbn 3-540-65965-XConference Paper

Defining and combining symmetric and asymmetric similarity measuresBRIDGE, D. G.Lecture notes in computer science. 1998, pp 52-63, issn 0302-9743, isbn 3-540-64990-5Conference Paper

Apprentissage incrémental des heuristiques de planification de trajectoire d'un robot mobile autonome dans un bâtiment = Incremental learning of autonomous mobile robot trajectory planning in a buildingBellafkih, Mostafa; Coiffet, P.1994, 233 p.Thesis