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143
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CIKM
2011
Springer
14 years 3 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...
128
Voted
ECIR
2009
Springer
16 years 15 days ago
Investigating Learning Approaches for Blog Post Opinion Retrieval
Blog post opinion retrieval is the problem of identifying posts which express an opinion about a particular topic. Usually the problem is solved using a 3 step process in which rel...
Shima Gerani, Mark James Carman, Fabio Crestani
116
Voted
ICML
2009
IEEE
16 years 4 months ago
Graph construction and b-matching for semi-supervised learning
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
Tony Jebara, Jun Wang, Shih-Fu Chang
130
Voted
ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
15 years 8 months ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 4 months ago
Semi-supervised Multi-label Learning by Solving a Sylvester Equation
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang