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IJMMS
2007
145views more  IJMMS 2007»
13 years 7 months ago
Automatic prediction of frustration
Predicting when a person might be frustrated can provide an intelligent system with important information about when to initiate interaction. For example, an automated Learning Co...
Ashish Kapoor, Winslow Burleson, Rosalind W. Picar...
BSN
2006
IEEE
131views Sensor Networks» more  BSN 2006»
14 years 1 months ago
Elaborating Sensor Data using Temporal and Spatial Commonsense Reasoning
Ubiquitous computing has established a vision of computation where computers are so deeply integrated into our lives that they become both invisible and everywhere. In order to ha...
Bo Morgan, Push Singh
RSFDGRC
2005
Springer
126views Data Mining» more  RSFDGRC 2005»
14 years 28 days ago
Rough Sets and Higher Order Vagueness
Abstract. We present a rough set approach to vague concept approximation within the adaptive learning framework. In particular, the role of extensions of approximation spaces in se...
Andrzej Skowron, Roman W. Swiniarski
COGSCI
2004
120views more  COGSCI 2004»
13 years 7 months ago
Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers
Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children rec...
David M. Sobel, Joshua B. Tenenbaum, Alison Gopnik
ICCBR
2003
Springer
14 years 20 days ago
Combining Case-Based and Model-Based Reasoning for Predicting the Outcome of Legal Cases
This paper presents an algorithm called IBP that combines case-based and model-based reasoning for an interpretive CBR application, predicting the outcome of legal cases. IBP uses ...
Stefanie Brüninghaus, Kevin D. Ashley