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JMLR
2010
136views more  JMLR 2010»
13 years 5 months ago
Reducing Label Complexity by Learning From Bags
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
Sivan Sabato, Nathan Srebro, Naftali Tishby
ACL
2010
13 years 8 months ago
Edit Tree Distance Alignments for Semantic Role Labelling
Tree SRL system is a Semantic Role Labelling supervised system based on a tree-distance algorithm and a simple k-NN implementation. The novelty of the system lies in comparing the...
Hector-Hugo Franco-Penya
ICPR
2004
IEEE
14 years 11 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
IJCAI
2003
14 years 2 days ago
Learning to Classify Texts Using Positive and Unlabeled Data
In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a ...
Xiaoli Li, Bing Liu
IFSA
2007
Springer
158views Fuzzy Logic» more  IFSA 2007»
14 years 4 months ago
Fuzziness and Performance: An Empirical Study with Linguistic Decision Trees
Abstract. Generally, there are two main streams of theories for studying uncertainties. One is probability theory and the other is fuzzy set theory. One of the basic ideas of fuzzy...
Zengchang Qin, Jonathan Lawry