Sciweavers

240 search results - page 36 / 48
» Optimisation methods for ranking functions with multiple par...
Sort
View
NIPS
1998
14 years 11 months ago
Probabilistic Image Sensor Fusion
We present a probabilistic method for fusion of images produced by multiple sensors. The approach is based on an image formation model in which the sensor images are noisy, locall...
Ravi K. Sharma, Todd K. Leen, Misha Pavel
75
Voted
ACL
2009
14 years 7 months ago
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria
In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...
Gregory Druck, Gideon S. Mann, Andrew McCallum
PRL
2007
131views more  PRL 2007»
14 years 9 months ago
A new look at discriminative training for hidden Markov models
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiï...
Xiaodong He, Li Deng
GLOBECOM
2008
IEEE
15 years 4 months ago
Weighted Sum Rate Optimization of Multicell Cognitive Radio Networks
— In this paper, we study the weighted sum rate maximization of multicell cellular cognitive radio networks (CRNs) which are overlaid with multicell primary radio networks (PRNs)...
Yao Ma, Dong In Kim, Alex Leith
80
Voted
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 3 months ago
Self-adaptive simulated binary crossover for real-parameter optimization
Simulated binary crossover (SBX) is a real-parameter recombination operator which is commonly used in the evolutionary algorithm (EA) literature. The operator involves a parameter...
Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe