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UAI
2004
15 years 8 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
DATAMINE
2006
117views more  DATAMINE 2006»
15 years 7 months ago
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
Laura Maruster, A. J. M. M. Weijters, Wil M. P. va...
CONCURRENCY
2007
95views more  CONCURRENCY 2007»
15 years 7 months ago
Automated and accurate cache behavior analysis for codes with irregular access patterns
Abstract. The memory hierarchy plays an essential role in the performance of current computers, thus good analysis tools that help predict and understand its behavior are required....
Diego Andrade, Manuel Arenaz, Basilio B. Fraguela,...
NLE
2008
140views more  NLE 2008»
15 years 7 months ago
Active learning and logarithmic opinion pools for HPSG parse selection
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
Jason Baldridge, Miles Osborne
CVPR
2007
IEEE
16 years 9 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic