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» Discovering and Comparing Topic Hierarchies
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PAMI
2002
112views more  PAMI 2002»
14 years 11 months ago
Recognizing Handwritten Digits Using Hierarchical Products of Experts
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
Guy Mayraz, Geoffrey E. Hinton
DATESO
2004
118views Database» more  DATESO 2004»
15 years 1 months ago
LSI vs. Wordnet Ontology in Dimension Reduction for Information Retrieval
Abstract. In the area of information retrieval, the dimension of document vectors plays an important role. Firstly, with higher dimensions index structures suffer the "curse o...
Pavel Moravec, Michal Kolovrat, Václav Sn&a...
AAAI
1996
15 years 29 days ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard
ECAI
2010
Springer
14 years 9 months ago
From bursty patterns to bursty facts: The effectiveness of temporal text mining for news
Many document collections are by nature dynamic, evolving as the topics or events they describe change. The goal of temporal text mining is to discover bursty patterns and to ident...
Ilija Subasic, Bettina Berendt
CSCW
2012
ACM
13 years 7 months ago
Blogs as a collective war diary
Disaster-related research in human-centered computing has typically focused on the shorter-term, emergency period of a disaster event, whereas effects of some crises are longterm,...
Gloria Mark, Mossaab Bagdouri, Leysia Palen, James...