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CORR
2010
Springer
88views Education» more  CORR 2010»
13 years 8 months ago
A fuzzified BRAIN algorithm for learning DNF from incomplete data
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...
Salvatore Rampone, Ciro Russo
ALT
2004
Springer
14 years 5 months ago
Learning Languages from Positive Data and Negative Counterexamples
In this paper we introduce a paradigm for learning in the limit of potentially infinite languages from all positive data and negative counterexamples provided in response to the ...
Sanjay Jain, Efim B. Kinber
KDD
2000
ACM
116views Data Mining» more  KDD 2000»
14 years 1 days ago
Learning Feature Weights from User Behavior in Content-Based Image Retrieval
Henning Müller, Wolfgang Müller 0002, Da...
ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
14 years 2 months ago
Semi-supervised Learning from General Unlabeled Data
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...
ICPR
2010
IEEE
14 years 1 days ago
Learning a Joint Manifold Representation from Multiple Data Sets
—The problem we address in the paper is how to learn a joint representation from data lying on multiple manifolds. We are given multiple data sets and there is an underlying comm...
Marwan Torki, Ahmed Elgammal, Chan-Su Lee