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ICML
2000
IEEE
16 years 2 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
WWW
2008
ACM
16 years 2 months ago
Efficiently finding web services using a clustering semantic approach
Efficiently finding Web services on the Web is a challenging issue in service-oriented computing. Currently, UDDI is a standard for publishing and discovery of Web services, and U...
Jiangang Ma, Yanchun Zhang, Jing He
WWW
2007
ACM
16 years 2 months ago
A probabilistic semantic approach for discovering web services
Service discovery is one of challenging issues in Service-Oriented computing. Currently, most of the existing service discovering and matching approaches are based on keywords-bas...
Jiangang Ma, Jinli Cao, Yanchun Zhang
CHES
2009
Springer
171views Cryptology» more  CHES 2009»
16 years 2 months ago
Trojan Side-Channels: Lightweight Hardware Trojans through Side-Channel Engineering
Abstract. The general trend in semiconductor industry to separate design from fabrication leads to potential threats from untrusted integrated circuit foundries. In particular, mal...
Christof Paar, Lang Lin, Markus Kasper, Tim Gü...
KDD
2003
ACM
116views Data Mining» more  KDD 2003»
16 years 2 months ago
XRules: an effective structural classifier for XML data
XML documents have recently become ubiquitous because of their varied applicability in a number of applications. Classification is an important problem in the data mining domain, ...
Mohammed Javeed Zaki, Charu C. Aggarwal