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TNN
2008
119views more  TNN 2008»
14 years 9 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal
AAI
2002
109views more  AAI 2002»
14 years 9 months ago
Probabilistic Assessment of User's Emotions in Educational Games
We present a probabilistic model to monitor a user's emotions and engagement during the interaction with educational games. We illustrate how our probabilistic model assesses...
Cristina Conati
IJON
2002
88views more  IJON 2002»
14 years 9 months ago
Curved feature metrics in models of visual cortex
We study the relation between maps of a high-dimensional stimulus manifold onto an essentially two-dimensional cortical area and low-dimensional maps of stimulus features such as ...
Norbert Michael Mayer, J. Michael Herrmann, Theo G...
PVLDB
2010
110views more  PVLDB 2010»
14 years 8 months ago
Evaluation of entity resolution approaches on real-world match problems
Despite the huge amount of recent research efforts on entity resolution (matching) there has not yet been a comparative evaluation on the relative effectiveness and efficiency of ...
Hanna Köpcke, Andreas Thor, Erhard Rahm
PPSN
2010
Springer
14 years 7 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...