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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 5 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
KDD
2005
ACM
143views Data Mining» more  KDD 2005»
16 years 5 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 5 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
VLSID
2007
IEEE
154views VLSI» more  VLSID 2007»
16 years 5 months ago
Model Based Test Generation for Microprocessor Architecture Validation
Functional validation of microprocessors is growing in complexity in current and future microprocessors. Traditionally, the different components (or validation collaterals) used i...
Sreekumar V. Kodakara, Deepak Mathaikutty, Ajit Di...
POPL
2008
ACM
16 years 5 months ago
High-level small-step operational semantics for transactions
Software transactions have received significant attention as a way to simplify shared-memory concurrent programming, but insufficient focus has been given to the precise meaning o...
Katherine F. Moore, Dan Grossman
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