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ACL
2009
14 years 7 months ago
Variational Inference for Grammar Induction with Prior Knowledge
Variational EM has become a popular technique in probabilistic NLP with hidden variables. Commonly, for computational tractability, we make strong independence assumptions, such a...
Shay B. Cohen, Noah A. Smith
ML
2008
ACM
14 years 9 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...
ICCAD
1995
IEEE
68views Hardware» more  ICCAD 1995»
15 years 1 months ago
Generating sparse partial inductance matrices with guaranteed stability
This paper proposes a definition of magnetic vector potential that can be used to evaluate sparse partial inductance matrices. Unlike the commonly applied procedure of discarding...
Byron Krauter, Lawrence T. Pileggi
DCC
2007
IEEE
15 years 9 months ago
Structure induction by lossless graph compression
This work is motivated by the necessity to automate the discovery of structure in vast and evergrowing collection of relational data commonly represented as graphs, for example ge...
Leonid Peshkin
ILP
2005
Springer
15 years 3 months ago
Converting Semantic Meta-knowledge into Inductive Bias
The Cyc KB has a rich pre-existing ontology for representing common sense knowledge. To clarify and enforce its terms’ semantics and to improve inferential efficiency, the Cyc on...
John Cabral, Robert C. Kahlert, Cynthia Matuszek, ...