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AAAI
1994
13 years 10 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
COLT
2010
Springer
13 years 6 months ago
Quantum Predictive Learning and Communication Complexity with Single Input
We define a new model of quantum learning that we call Predictive Quantum (PQ). This is a quantum analogue of PAC, where during the testing phase the student is only required to a...
Dmitry Gavinsky
ICPR
2006
IEEE
14 years 9 months ago
Activity Discovery from Surveillance Videos
Multi-agent interactions often result in mutual occlusion sequences which constitute a visual signature for the event. We define six qualitative occlusion primitives based on the ...
Amitabha Mukerjee, K. S. Venkatesh, Pabitra Mitra,...
NN
2006
Springer
114views Neural Networks» more  NN 2006»
13 years 8 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
ECRTS
2009
IEEE
13 years 6 months ago
Partitioned Fixed-Priority Preemptive Scheduling for Multi-core Processors
Abstract--Energy and thermal considerations are increasingly driving system designers to adopt multi-core processors. In this paper, we consider the problem of scheduling periodic ...
Karthik Lakshmanan, Ragunathan Rajkumar, John P. L...