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» Refactoring Process Models in Large Process Repositories
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132
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BMCBI
2008
153views more  BMCBI 2008»
15 years 3 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...
296
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Book
3101views
17 years 2 months ago
Steven Shreve: Stochastic Calculus and Finance
This is a great draft book about stochastic calculus and finance. It covers large number of topics such as Introduction to Probability Theory, Conditional Expectation, Arbitrage Pr...
Prasad Chalasani, Somesh Jha
137
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NIPS
1993
15 years 5 months ago
The Power of Amnesia
We propose a learning algorithm for a variable memory length Markov process. Human communication, whether given as text, handwriting, or speech, has multi characteristic time scal...
Dana Ron, Yoram Singer, Naftali Tishby
TACS
1994
Springer
15 years 7 months ago
A Semantic Theory for Concurrent ML
In this paper we present a semantic theory for Concurrent ML. It consists of a new effect-based type system and a denotational model. The new type system is based on an extension o...
Dominique Bolignano, Mourad Debbabi
GBRPR
2007
Springer
15 years 10 months ago
Approximating TSP Solution by MST Based Graph Pyramid
The traveling salesperson problem (TSP) is difficult to solve for input instances with large number of cities. Instead of finding the solution of an input with a large number of c...
Yll Haxhimusa, Walter G. Kropatsch, Zygmunt Pizlo,...