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» Learning From Ambiguous Examples
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ICML
2009
IEEE
16 years 3 months ago
Learning from measurements in exponential families
Given a model family and a set of unlabeled examples, one could either label specific examples or state general constraints--both provide information about the desired model. In g...
Percy Liang, Michael I. Jordan, Dan Klein
ICML
2007
IEEE
16 years 3 months ago
On the relation between multi-instance learning and semi-supervised learning
Multi-instance learning and semi-supervised learning are different branches of machine learning. The former attempts to learn from a training set consists of labeled bags each con...
Zhi-Hua Zhou, Jun-Ming Xu
APIN
2002
90views more  APIN 2002»
15 years 2 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
LRE
2008
110views more  LRE 2008»
15 years 2 months ago
Automatic building of an ontology on the basis of text corpora in Thai
This paper presents a methodology for automatic learning of ontologies from Thai text corpora, by extraction of terms and relations. A shallow parser is used to chunk texts on whic...
Aurawan Imsombut, Asanee Kawtrakul
WILF
2007
Springer
108views Fuzzy Logic» more  WILF 2007»
15 years 8 months ago
Recognizing Humor Without Recognizing Meaning
Abstract. We present a machine learning approach for classifying sentences as one-liner jokes or normal sentences. We use no deep analysis of the meaning to try to see if it is hum...
Jonas Sjöbergh, Kenji Araki