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PAKDD
2005
ACM
132views Data Mining» more  PAKDD 2005»
16 years 23 days ago
SETRED: Self-training with Editing
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
Ming Li, Zhi-Hua Zhou
IEAAIE
2004
Springer
16 years 20 days ago
Incremental Induction of Classification Rules for Cultural Heritage Documents
This work presents the application of a first-order logic incremental learning system, INTHELEX, to learn rules for the automatic identification of a wide range of significant docu...
Teresa Maria Altomare Basile, Stefano Ferilli, Nic...
EPIA
2003
Springer
16 years 15 days ago
Mining Low Dimensionality Data Streams of Continuous Attributes
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
CIA
2006
Springer
15 years 11 months ago
Improving Example Selection for Agents Teaching Ontology Concepts
Abstract. We present a method to improve the positive examples selection by teaching agents in a multi-agent system in which a team of agent peers teach concepts to a learning agen...
Mohsen Afsharchi, Behrouz H. Far
178
Voted
ICML
1994
IEEE
15 years 10 months ago
Combining Top-down and Bottom-up Techniques in Inductive Logic Programming
This paper describes a new methodfor inducing logic programs from examples which attempts to integrate the best aspects of existingILP methodsintoa singlecoherent framework. In pa...
John M. Zelle, Raymond J. Mooney, Joshua B. Konvis...