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ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 9 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
ELECTRONICMARKETS
1998
150views more  ELECTRONICMARKETS 1998»
13 years 9 months ago
Services of A Broker in Electronic Commerce Transactions
AbstractAbstractAbstractAbstract Current Web-based electronic commerce systems are lacking in efficient electronic brokerage. However, brokerage plays an important role in many ele...
Martin Bichler, Carrie Beam, Arie Segev
TPDS
1998
114views more  TPDS 1998»
13 years 9 months ago
On the Automatic Parallelization of the Perfect Benchmarks
We present a set of advanced program parallelization techniques that are able to signi cantly improve the performance of application programs. We present evidence for this improve...
Rudolf Eigenmann, Jay Hoeflinger, David A. Padua
TITB
2002
142views more  TITB 2002»
13 years 9 months ago
Building a bioinformatics ontology using OIL
This paper describes the initial stages of building an ontology of bioinformatics and molecular biology. The conceptualisation is encoded using the Ontology Inference Layer (OIL),...
Robert Stevens, Carole A. Goble, Ian Horrocks, Sea...
PAMI
2007
166views more  PAMI 2007»
13 years 9 months ago
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
—This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise ...
Dariu Gavrila