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FLAIRS
2006
13 years 9 months ago
An Empirical Exploration of Hidden Markov Models: From Spelling Recognition to Speech Recognition
Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
Shieu-Hong Lin
FLAIRS
2006
13 years 9 months ago
Managing Student Emotions in Intelligent Tutoring Systems
1 In the classic educational context, observing and identifying learner's emotional response allow the teacher to adapt the lesson, with the aim of improving the quality of th...
Roger Nkambou
FLAIRS
2006
13 years 9 months ago
Cognitive Simulation in Virtual Patients
We present an overview of the Virtual Patient project at the University of Maryland, which is developing a cognitive model of humans experiencing various states of health and dise...
Sergei Nirenburg, Marjorie McShane, Stephen Beale,...
FLAIRS
2006
13 years 9 months ago
Focusing AI Students' Attention: A Framework-Based Approach to Guiding Impasse-Driven Learning
Research indicates that impasse-driven learning can have important benefits for improving student mastery of material. When students recognize gaps in their understanding of a con...
Steven Bogaerts, David B. Leake
FLAIRS
2006
13 years 9 months ago
Coalition Formation Meets Information Theory
The process of coalition formation, where distinct autonomous agents come together to act as a coherent group is an important form of interaction in multiagent systems. Previous w...
Victor Palmer, Thomas R. Ioerger
FLAIRS
2006
13 years 9 months ago
EXCOM: An Automatic Annotation Engine for Semantic Information
Brahim Djioua, Jorge J. García Flores, Anto...
FLAIRS
2006
13 years 9 months ago
Generating Realistic Large Bayesian Networks by Tiling
In this paper we present an algorithm and software for generating arbitrarily large Bayesian Networks by tiling smaller real-world known networks. The algorithm preserves the stru...
Ioannis Tsamardinos, Alexander R. Statnikov, Laura...
FLAIRS
2006
13 years 9 months ago
Methods for Constructing Balanced Elimination Trees and Other Recursive Decompositions
A conditioning graph is a form of recursive factorization which minimizes the memory requirements and simplifies the implementation of inference in Bayesian networks. The time com...
Kevin Grant, Michael C. Horsch
FLAIRS
2006
13 years 9 months ago
Formal Verification of Cognitive Models
Cognitive modeling has outgrown the toy problems of the research labs and is increasingly tackling Industrial size applications. This growth is not matched in terms of software to...
A. MacKlem, Fatma Mili