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137
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SIGCSE
1997
ACM
111views Education» more  SIGCSE 1997»
15 years 8 months ago
Teaching an engineering approach for network computing
Parallelism and concurrency have long been considered as non essential during the cursus of the average programmer. However, thanks to technological advances, new promising forms ...
Eric Dillon, Carlos Gamboa Dos Santos, Jacques Guy...
140
Voted
FLAIRS
2006
15 years 5 months ago
An Empirical Exploration of Hidden Markov Models: From Spelling Recognition to Speech Recognition
Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
Shieu-Hong Lin
CEC
2008
IEEE
15 years 10 months ago
An investigation on evolutionary gradient search for multi-objective optimization
—Evolutionary gradient search is a hybrid algorithm that exploits the complementary features of gradient search and evolutionary algorithm to achieve a level of efficiency and r...
Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin ...
131
Voted
HM
2009
Springer
145views Optimization» more  HM 2009»
15 years 8 months ago
A Hybrid Solver for Large Neighborhood Search: Mixing Gecode and EasyLocal + +
We present a hybrid solver (called GELATO) that exploits the potentiality of a Constraint Programming (CP) environment (Gecode) and of a Local Search (LS) framework (EasyLocal++ )....
Raffaele Cipriano, Luca Di Gaspero, Agostino Dovie...
CP
2004
Springer
15 years 7 months ago
Set Variables and Local Search
Many combinatorial (optimisation) problems have natural models based on, or including, set variables and set constraints. This was already known to the constraint programming commu...
Magnus Ågren