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» A Structural Induction Theorem for Processes
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IJCNLP
2005
Springer
14 years 29 days ago
Automatic Partial Parsing Rule Acquisition Using Decision Tree Induction
Abstract. Partial parsing techniques try to recover syntactic information efficiently and reliably by sacrificing completeness and depth of analysis. One of the difficulties of pa...
Myung-Seok Choi, Chul Su Lim, Key-Sun Choi
IFIP12
2008
13 years 9 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...
ECAI
2004
Springer
14 years 26 days ago
Combining Multiple Answers for Learning Mathematical Structures from Visual Observation
Learning general truths from the observation of simple domains and, further, learning how to use this knowledge are essential capabilities for any intelligent agent to understand ...
Paulo Santos, Derek R. Magee, Anthony G. Cohn, Dav...
KDID
2003
119views Database» more  KDID 2003»
13 years 8 months ago
Generalized Version Space Trees
We introduce generalized version space trees, a novel data structure that serves as a condensed representation in inductive databases for graph mining. Generalized version space tr...
Ulrich Rückert, Stefan Kramer
ISPD
2000
ACM
86views Hardware» more  ISPD 2000»
13 years 12 months ago
Simulating frequency-dependent current distribution for inductance modeling of on-chip copper interconnects
500+ MHz designs using deep-submicron (DSM) copper interconnects require accurate and efficient modeling of cladding-metals’ frequency-dependent impedance [1]. In this paper, fo...
Li-Fu Chang, Keh-Jeng Chang, Robert Mathews