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ICPR
2008
IEEE
16 years 1 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
ICRA
2007
IEEE
110views Robotics» more  ICRA 2007»
16 years 1 months ago
A Reinforcement Learning Approach to Lift Generation in Flapping MAVs: Experimental Results
— In [17] we proposed an RL framework for control of flapping-wing MAVs. The algorithm has been discussed and simulation results using a quasi-steady model showed initial promis...
Mehran Motamed, Joseph Yan
ICANN
2007
Springer
16 years 1 months ago
Split-Merge Incremental LEarning (SMILE) of Mixture Models
In this article we present an incremental method for building a mixture model. Given the desired number of clusters K ≥ 2, we start with a two-component mixture and we optimize t...
Konstantinos Blekas, Isaac E. Lagaris
ICPR
2010
IEEE
16 years 29 days ago
The Detection of Concept Frames Using Clustering Multi-Instance Learning
Abstract—The classification of sequences requires the combination of information from different time points. In this paper the detection of facial expressions is considered. Exp...
David Tax, Michel Valstar
ISNN
2004
Springer
16 years 20 days ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji