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COLT
1994
Springer
15 years 7 months ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton
153
Voted
SIAMCOMP
2002
98views more  SIAMCOMP 2002»
15 years 3 months ago
Self-Stabilizing Symmetry Breaking in Constant Space
abstract Alain Mayer Yoram Ofeky Rafail Ostrovskyz Moti Yungx We investigate the problem of self-stabilizing round-robin token management scheme on an anonymous bidirectional ring...
Alain J. Mayer, Rafail Ostrovsky, Yoram Ofek, Moti...
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 7 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
CICLING
2010
Springer
15 years 10 months ago
A Sequential Model for Discourse Segmentation
Identifying discourse relations in a text is essential for various tasks in Natural Language Processing, such as automatic text summarization, question-answering, and dialogue gene...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
MCS
2009
Springer
15 years 10 months ago
Improved Uniformity Enforcement in Stochastic Discrimination
There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
Matthew Prior, Terry Windeatt