Sciweavers

3889 search results - page 364 / 778
» A Framework for Optimizing Paper Matching
Sort
View
CEC
2007
IEEE
16 years 1 months ago
Bayesian inference in estimation of distribution algorithms
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
Marcus Gallagher, Ian Wood, Jonathan M. Keith, Geo...
183
Voted
ICMCS
2005
IEEE
87views Multimedia» more  ICMCS 2005»
16 years 9 days ago
A Probabilistic Description of Man-Machine Spoken Communication
Speech enabled interfaces and spoken dialog systems are mostly based on statistical speech and language processing modules. Their behavior is therefore not deterministic and hardl...
Olivier Pietquin
FSR
2003
Springer
128views Robotics» more  FSR 2003»
15 years 12 months ago
Development of a Terrain Adaptive Stability Prediction System for Mass Articulating Mobile Robots
Dynamic stability is an important issue for vehicles which move heavy loads, turn at speed, or operate on sloped terrain. In many cases, vehicles face more than one of these chall...
Antonio Diaz-Calderon, Alonzo Kelly
DAGM
1998
Springer
15 years 11 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
ACL
2006
15 years 8 months ago
Training Conditional Random Fields with Multivariate Evaluation Measures
This paper proposes a framework for training Conditional Random Fields (CRFs) to optimize multivariate evaluation measures, including non-linear measures such as F-score. Our prop...
Jun Suzuki, Erik McDermott, Hideki Isozaki