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ICML
2000
IEEE
16 years 4 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...
SIGSOFT
2005
ACM
16 years 4 months ago
Arithmetic program paths
We present Arithmetic Program Paths, a novel, efficient way to compress program control-flow traces that reduces program bit traces to less than a fifth of their original size whi...
Manos Renieris, Shashank Ramaprasad, Steven P. Rei...
SIGSOFT
2004
ACM
16 years 4 months ago
Implementing protocols via declarative event patterns
This paper introduces declarative event patterns (DEPs) as a means to implement protocols while improving their traceability, comprehensibility, and maintainability. DEPs are desc...
Robert J. Walker, Kevin Viggers
ICDT
2009
ACM
109views Database» more  ICDT 2009»
16 years 4 months ago
TOP-K projection queries for probabilistic business processes
A Business Process (BP) consists of some business activities undertaken by one or more organizations in pursuit of some business goal. Tools for querying and analyzing BP specific...
Daniel Deutch, Tova Milo
SIGCSE
2009
ACM
149views Education» more  SIGCSE 2009»
16 years 4 months ago
GINI: a user-level toolkit for creating micro internets for teaching & learning computer networking
GINI (GINI Is Not Internet) is an open-source toolkit for creating virtual micro Internets for teaching and learning computer networking. It provides lightweight virtual elements ...
Muthucumaru Maheswaran, Alexis Malozemoff, Daniel ...