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ICPR
2008
IEEE
14 years 2 months ago
Prior-updating ensemble learning for discrete HMM
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...
Gyeongyong Heo, Paul D. Gader
IROS
2007
IEEE
134views Robotics» more  IROS 2007»
14 years 2 months ago
Feature selection for grasp recognition from optical markers
Abstract— Although the human hand is a complex biomechanical system, only a small set of features may be necessary for observation learning of functional grasp classes. We explor...
Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchel...
NLPRS
2001
Springer
14 years 16 days ago
A Hierarchical EM Approach to Word Segmentation
We propose a simple two-level hierarchical probability model for unsupervised word segmentation. By treating words as strings composed of morphemes/phonemes which are themselves c...
Fuchun Peng, Dale Schuurmans
AAAI
2008
13 years 10 months ago
Transfer Learning via Dimensionality Reduction
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Sinno Jialin Pan, James T. Kwok, Qiang Yang
ATMOS
2007
161views Optimization» more  ATMOS 2007»
13 years 9 months ago
Periodic Railway Timetabling with Event Flexibility
This paper addresses the problem of generating conflict-free periodic train timetables for large railway networks. We follow a two level approach, where a simplified track topolo...
Gabrio Curzio Caimi, Martin Fuchsberger, Marco Lau...