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BMCBI
2006
119views more  BMCBI 2006»
13 years 9 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
AIED
2007
Springer
14 years 3 months ago
The Influence of Learner Characteristics on Task-Oriented Tutorial Dialogue
Tutorial dialogue has been the subject of increasing attention in recent years, and it has become evident that empirical studies of humanhuman tutorial dialogue can contribute impo...
Kristy Elizabeth Boyer, Mladen A. Vouk, James C. L...

Book
545views
15 years 4 months ago
Artificial Intelligence: A Modern Approach
"Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continu...
Stuart Russell and Peter Norvig
ICML
2005
IEEE
14 years 9 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
ESWS
2010
Springer
13 years 7 months ago
The Semantic Gap of Formalized Meaning
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
Sebastian Hellmann