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SIGKDD
2002
93views more  SIGKDD 2002»
15 years 23 days ago
A Perspective on Inductive Databases
Inductive databases tightly integrate databases with data mining. The key ideas are that data and patterns (or models) are handled in the same way and that an inductive query lang...
Luc De Raedt
84
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ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
15 years 7 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
130
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EMNLP
2009
14 years 11 months ago
A Bayesian Model of Syntax-Directed Tree to String Grammar Induction
Tree based translation models are a compelling means of integrating linguistic information into machine translation. Syntax can inform lexical selection and reordering choices and...
Trevor Cohn, Phil Blunsom
137
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ISCI
2011
14 years 8 months ago
Sequential covering rule induction algorithm for variable consistency rough set approaches
We present a general rule induction algorithm based on sequential covering, suitable for variable consistency rough set approaches. This algorithm, called VC-DomLEM, can be used f...
Jerzy Blaszczynski, Roman Slowinski, Marcin Szelag
117
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AIED
2009
Springer
15 years 7 months ago
Modeling Task-Based vs. Affect-based Feedback Behavior in Pedagogical Agents: An Inductive Approach
Affect has been the subject of increasing attention in cognitive accounts of learning. Many intelligent tutoring systems now seek to adapt pedagogy to student affective and motivat...
Jennifer L. Robison, Scott W. McQuiggan, James C. ...