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AAAI
1994
15 years 8 months ago
Learning to Reason
We introduce a new framework for the study of reasoning. The Learning (in order) to Reason approach developed here views learning as an integral part of the inference process, and ...
Roni Khardon, Dan Roth
GLVLSI
2005
IEEE
103views VLSI» more  GLVLSI 2005»
16 years 8 days ago
Causal probabilistic input dependency learning for switching model in VLSI circuits
Switching model captures the data-driven uncertainty in logic circuits in a comprehensive probabilistic framework. Switching is a critical factor that influences dynamic, active ...
Nirmal Ramalingam, Sanjukta Bhanja
EUROMICRO
1997
IEEE
15 years 11 months ago
What computer architecture can learn from computational intelligence-and vice versa
This paper considers whether the seemingly disparate fields of Computational Intelligence (CI) and computer architecture can profit from each others’ principles, results and e...
Ronald Moore, Bernd Klauer, Klaus Waldschmidt
INTERACT
2003
15 years 8 months ago
Interaction as Enquiry - Learning with Layered Dynamic Media
: The interactivity afforded to the learner by the computer based media is often fairly restricted. This may be by design choice but is often brought about by resource constraints....
Peter Whalley
RECOMB
2007
Springer
16 years 7 months ago
A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
Anitha Kannan, Andrew Emili, Brendan J. Frey