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ICPR
2002
IEEE
16 years 7 months ago
Context-Sensitive Bayesian Classifiers and Application to Mouse Pressure Pattern Classification
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
Yuan (Alan) Qi, Rosalind W. Picard
MSE
1999
IEEE
143views Hardware» more  MSE 1999»
15 years 11 months ago
Automated Team Project Management and Evaluation Through Interactive Web Modules
Team projects represent an important aspect of the microelectronic systems education. In group projects, students learn to work together, delegate responsibilities, and manage tim...
John W. Lockwood
ICML
2010
IEEE
15 years 7 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
196
Voted
MTA
2002
103views more  MTA 2002»
15 years 6 months ago
STEPS: Supporting Traditional Education Procedures-A TCP/IP Multimedia Networks-Based Model
This paper describes an integrated model for the realization of an Open and Distance Learning (ODL) environment supporting traditional learning procedures, through collaborative le...
Christos Bouras, Petros Lampsas, Paul G. Spirakis
ML
2012
ACM
385views Machine Learning» more  ML 2012»
14 years 2 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe