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» Modeling Classification and Inference Learning
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ICALT
2010
IEEE
14 years 10 months ago
Modelling Affect in Learning Environments - Motivation and Methods
Emotions have a functional relevance to learning and achievement. Not surprisingly then, affective diagnoses are an important aspect of expert human mentoring. Computerbased learni...
Shazia Afzal, Peter Robinson
WSC
2008
15 years 2 months ago
A modeling-based classification algorithm validated with simulated data
We present a Generalized Lotka-Volterra (GLV) based approach for modeling and simulation of supervised inductive learning, and construction of an efficient classification algorith...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
ICCV
2001
IEEE
16 years 2 months ago
Human Tracking with Mixtures of Trees
Tree-structured probabilistic models admit simple, fast inference. However, they are not well suited to phenomena such as occlusion, where multiple components of an object may dis...
Sergey Ioffe, David A. Forsyth
115
Voted
ICML
2005
IEEE
16 years 1 months ago
Generalized LARS as an effective feature selection tool for text classification with SVMs
In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a featur...
S. Sathiya Keerthi
96
Voted
CIE
2007
Springer
15 years 6 months ago
Input-Dependence in Function-Learning
In the standard model of inductive inference, a learner gets as input the graph of a function, and has to discover (in the limit) a program for the function. In this paper, we cons...
Sanjay Jain, Eric Martin, Frank Stephan