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» Statistical Performance Modeling and Optimization
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121
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GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 8 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
124
Voted
SBBD
2003
101views Database» more  SBBD 2003»
15 years 5 months ago
Cherry Picking: A Semantic Query Processing Strategy for the Evaluation of Expensive Predicates
A common requirement of many scientific applications is the ability to process queries involving expensive predicates corresponding to user programs. Optimizing such queries is ha...
Fabio Porto, Eduardo Sany Laber, Patrick Valduriez
123
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TON
1998
80views more  TON 1998»
15 years 3 months ago
Blocking and nonblocking multirate Clos switching networks
— This paper investigates in detail the blocking and nonblocking behavior of multirate Clos switching networks at the connection/virtual connection level. The results are applica...
Soung C. Liew, Ming-Hung Ng, Cathy W. Chan
CORR
2010
Springer
123views Education» more  CORR 2010»
15 years 2 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...
AI
2011
Springer
14 years 7 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson