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» Integrating Machine Learning in Parallel Heuristic Search
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96
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ML
2008
ACM
156views Machine Learning» more  ML 2008»
14 years 9 months ago
On the connection between the phase transition of the covering test and the learning success rate in ILP
It is well-known that heuristic search in ILP is prone to plateau phenomena. An explanation can be given after the work of Giordana and Saitta: the ILP covering test is NP-complete...
Érick Alphonse, Aomar Osmani
ML
2002
ACM
246views Machine Learning» more  ML 2002»
14 years 9 months ago
Bayesian Clustering by Dynamics
This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to disc...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
ANOR
2011
175views more  ANOR 2011»
14 years 4 months ago
Integrated exact, hybrid and metaheuristic learning methods for confidentiality protection
A vital task facing government agencies and commercial organizations that report data is to represent the data in a meaningful way and simultaneously to protect the confidentialit...
Fred Glover, Lawrence H. Cox, Rahul Patil, James P...
ICALT
2006
IEEE
15 years 3 months ago
Drawing Things Together: Integrating Modalities and Co-ordinating Understanding
Graphical dialogue -the collaborative construction and modification of drawings- forms an integrated part of many human interactions e.g., the construction of sketch maps, archite...
Patrick G. T. Healey
60
Voted
ACMSE
2006
ACM
15 years 3 months ago
Support vector machines for collaborative filtering
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
Zhonghang Xia, Yulin Dong, Guangming Xing