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» Discovering Cortical Algorithms
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147
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CIKM
2010
Springer
15 years 2 months ago
Discovery of numerous specific topics via term co-occurrence analysis
We describe efficient techniques for construction of large term co-occurrence graphs, and investigate an application to the discovery of numerous fine-grained (specific) topics. A...
Omid Madani, Jiye Yu
TACAS
2010
Springer
160views Algorithms» more  TACAS 2010»
15 years 2 months ago
Efficient Detection of Errors in Java Components Using Random Environment and Restarts
Software model checkers are being used mostly to discover specific types of errors in the code, since exhaustive verification of complex programs is not possible due to state explo...
Pavel Parizek, Tomás Kalibera
EMNLP
2009
15 years 2 months ago
Enhancement of Lexical Concepts Using Cross-lingual Web Mining
Sets of lexical items sharing a significant aspect of their meaning (concepts) are fundamental in linguistics and NLP. Manual concept compilation is labor intensive, error prone a...
Dmitry Davidov, Ari Rappoport
147
Voted
CORR
2010
Springer
116views Education» more  CORR 2010»
14 years 11 months ago
Mixed-Membership Stochastic Block-Models for Transactional Networks
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Mahdi Shafiei, Hugh Chipman
150
Voted
PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
14 years 7 months ago
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy M. Hospedales, Shaogang Gong, Tao Xiang