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» Approximate Learning of Dynamic Models
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ICML
2009
IEEE
16 years 5 months ago
A Bayesian approach to protein model quality assessment
Given multiple possible models b1, b2, . . . bn for a protein structure, a common sub-task in in-silico Protein Structure Prediction is ranking these models according to their qua...
Hetunandan Kamisetty, Christopher James Langmead
ICIP
2007
IEEE
16 years 6 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
NLPRS
2001
Springer
15 years 9 months ago
A New Prosodic Phrasing Model for Chinese TTS Systems
This paper proposes a new prosodic phrasing model for Chinese text-tospeech systems. First, in contrast to the commonly used CART techniques, we propose a new inductive learning a...
Weijun Chen, Fuzong Lin, Jianmin Li, Bo Zhang
PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
15 years 3 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Daniel Hernández-Lobato, José Miguel...
137
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IEAAIE
2010
Springer
15 years 2 months ago
The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent
This paper describes a Conscious Tutoring System (CTS) capable of dynamic fine-tuned assistance to users. We put forth the combination of a Causal Learning and Emotional learning m...
Usef Faghihi, Philippe Fournier-Viger, Roger Nkamb...