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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 6 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
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 6 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...
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
16 years 6 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
VLSID
2007
IEEE
154views VLSI» more  VLSID 2007»
16 years 6 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...
ICALP
2009
Springer
16 years 6 months ago
Functional Monitoring without Monotonicity
The notion of distributed functional monitoring was recently introduced by Cormode, Muthukrishnan and Yi [CMY08] to initiate a formal study of the communication cost of certain fu...
Chrisil Arackaparambil, Joshua Brody, Amit Chakrab...
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