Conferences in DBLP
J. Ross Quinlan , R. Mike Cameron-Jones FOIL: A Midterm Report. [Citation Graph (1, 0)][DBLP ] Conf ] Stephen Muggleton Inductive Logic Programming: Derivations, Successes and Shortcomings. [Citation Graph (0, 0)][DBLP ] Conf ] Irene Stahl , Birgit Tausend , Rüdiger Wirth Two Methods for Improving Inductive Logic Programming Systems. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Idestam-Almquist Generalization under Implication by using Or-Introduction. [Citation Graph (0, 0)][DBLP ] Conf ] Stefan Wrobel On the Proper Definition of Minimality in Specialization and Theory Revision. [Citation Graph (0, 0)][DBLP ] Conf ] Peter A. Flach Predicate Invention in Inductive Data Engineering. [Citation Graph (0, 0)][DBLP ] Conf ] Patrick R. J. van der Laag , Shan-Hwei Nienhuys-Cheng Subsumption and Refinement in Model Inference. [Citation Graph (0, 0)][DBLP ] Conf ] Jörg-Uwe Kietz Some Lower Bounds for the Computational Complexity of Inductive Logic Programming. [Citation Graph (0, 0)][DBLP ] Conf ] Henrik Boström Improving Example-Guided Unfolding. [Citation Graph (0, 0)][DBLP ] Conf ] James Cussens Bayes and Pseudo-Bayes Estimates of Conditional Probabilities and Their Reliability. [Citation Graph (0, 0)][DBLP ] Conf ] Pat Langley Induction of Recursive Bayesian Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Floriana Esposito , Donato Malerba , Giovanni Semeraro Decision Tree Pruning as a Search in the State Space. [Citation Graph (0, 0)][DBLP ] Conf ] Luís Torgo Controlled Redundancy in Incremental Rule Learning. [Citation Graph (1, 0)][DBLP ] Conf ] Antoine Cornuéjols Getting Order Independence in Incremental Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Maciej Modrzejewski Feature Selection Using Rough Sets Theory. [Citation Graph (0, 0)][DBLP ] Conf ] Gerhard Widmer , Miroslav Kubat Effective Learning in Dynamic Environments by Explicit Context Tracking. [Citation Graph (0, 0)][DBLP ] Conf ] Fredrik Kilander , Carl Gustaf Jansson COBBIT - A Control Procedure for COBWEB in the Presence of Concept Drift. [Citation Graph (0, 0)][DBLP ] Conf ] Steffen Schulze-Kremer Genetic Algorithms for Protein Tertiary Structure Prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Gilles Venturini SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts. [Citation Graph (0, 0)][DBLP ] Conf ] Pierre Brézellec , Henry Soldano SAMIA: A Bottom-Up Learning Method Using a Simulated Annealing Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Irene Stahl Predicate Invention in ILP - an Overview. [Citation Graph (0, 0)][DBLP ] Conf ] Francesco Bergadano , Daniele Gunetti Funtional Inductive Logic Programming with Queries to the User. [Citation Graph (0, 0)][DBLP ] Conf ] Tim Niblett A Note on Refinement Operators. [Citation Graph (0, 0)][DBLP ] Conf ] Masami Hagiya An Iterative and Bottom-up Procedure for Proving-by-Example. [Citation Graph (0, 0)][DBLP ] Conf ] Saso Dzeroski , Stephen Muggleton , Stuart J. Russell Learnability of Constrained Logic Programs. [Citation Graph (0, 0)][DBLP ] Conf ] Shan-Hwei Nienhuys-Cheng , Mark Polman Complexity Dimensions and Learnability. [Citation Graph (0, 0)][DBLP ] Conf ] Tibor Hegedüs Can Complexity Theory Benefit from Learning Theory? [Citation Graph (0, 0)][DBLP ] Conf ] Peter Clark , Stan Matwin Learning Domain Theories using Abstract Beckground Knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] Miroslav Kubat , Doris Flotzinger , Gert Pfurtscheller Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods. [Citation Graph (0, 0)][DBLP ] Conf ] Charles X. Ling , Ralph Buchal Learning to Control Dynamic Systems with Automatic Quantization. [Citation Graph (0, 0)][DBLP ] Conf ] Dieter Fensel , Markus Wiese Refinement of Rule Sets with JoJo. [Citation Graph (0, 0)][DBLP ] Conf ] Luís Torgo Rule Combination in Inductive Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Günter Seidelmann Using Heuristics to Speed up Induction on Continuous-Valued Attributes. [Citation Graph (0, 0)][DBLP ] Conf ] Jean-Gabriel Ganascia , Jérôme Thomas , Philippe Laublet Integrating Models of Knowledge and Machine Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Peter D. Turney Exploiting Context When Learning to Classify. [Citation Graph (0, 0)][DBLP ] Conf ] Lena Gaga , Vassilis Moustakis , Giorgos Charissis , Stelios C. Orphanoudakis IDDD: An Inductive, Domain Dependent Decision Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] José Luís Ferreira , Joaquim Correia , Thomas Jamet , Ernesto Costa An Application of Machine Learning in the Domain of Loan Analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Raqui Kane , Irina Tchoumatchenko , Maurice Milgram Extraction of Knowledge from Data Using Constrained Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Enric Plaza , Agnar Aamodt , Ashwin Ram , Walter Van de Velde , Maarten van Someren Integrated Learning Architectures. [Citation Graph (0, 0)][DBLP ] Conf ] William M. Spears , Kenneth A. De Jong , Thomas Bäck , David B. Fogel , Hugo de Garis An Overview of Evolutionary Computation. [Citation Graph (0, 0)][DBLP ] Conf ] Pieter W. Adriaans ML Techniques and Text Analysis. [Citation Graph (0, 0)][DBLP ] Conf ] 