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WWW
2011
ACM
14 years 6 months ago
Identifying enrichment candidates in textbooks
Many textbooks written in emerging countries lack clear and adequate coverage of important concepts. We propose a technological solution for algorithmically identifying those sect...
Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan...
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
15 years 3 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....
VLSI
2005
Springer
15 years 5 months ago
Technology Mapping for Area Optimized Quasi Delay Insensitive Circuits
Quasi delay insensitive circuits are functionally independent of delays in gates and wires (except for some particular wires). Such asynchronous circuits offer high robustness but...
Bertrand Folco, Vivian Brégier, Laurent Fes...
93
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ACSAC
1999
IEEE
15 years 4 months ago
An Application of Machine Learning to Network Intrusion Detection
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
Chris Sinclair, Lyn Pierce, Sara Matzner
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 9 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly