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NIPS
2000
13 years 8 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths
EMNLP
2011
12 years 6 months ago
Lexical Generalization in CCG Grammar Induction for Semantic Parsing
We consider the problem of learning factored probabilistic CCG grammars for semantic parsing from data containing sentences paired with logical-form meaning representations. Tradi...
Tom Kwiatkowski, Luke S. Zettlemoyer, Sharon Goldw...
JMLR
2008
127views more  JMLR 2008»
13 years 6 months ago
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
The use of computational models is increasingly expected to play an important role in predicting the behaviour of biological systems. Models are being sought at different scales o...
Ashwin Srinivasan, Ross D. King
TVLSI
2002
57views more  TVLSI 2002»
13 years 6 months ago
Simulation and modeling of the effect of substrate conductivity on coupling inductance and circuit crosstalk
The goal of this work was to simulate the effect of the finite conductivity of semiconductor substrates on the on-chip coupling inductance and then to investigate the effect of the...
Yehia Massoud, Jacob K. White
DAC
1997
ACM
13 years 10 months ago
SPIE: Sparse Partial Inductance Extraction
Extracting the inductance of complex interconnect topologies is a formidable task, and simulating the resulting dense partial inductance matrix is even more difficult. Furthermore...
Zhijiang He, Mustafa Celik, Lawrence T. Pileggi