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TEC
2010
126views more  TEC 2010»
15 years 1 months ago
Learning the Large-Scale Structure of the MAX-SAT Landscape Using Populations
A new algorithm for solving MAX-SAT problems is introduced which clusters good solutions, and restarts the search from the closest feasible solution to the centroid of each cluster...
Mohamed Qasem, Adam Prügel-Bennett
WWW
2004
ACM
16 years 7 months ago
Ontological representation of learning objects: building interoperable vocabulary and structures
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
Jian Qin, Naybell Hernández
UIST
2009
ACM
16 years 27 days ago
Overview based example selection in end user interactive concept learning
Interaction with large unstructured datasets is difficult because existing approaches, such as keyword search, are not always suited to describing concepts corresponding to the di...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...
CEEMAS
2005
Springer
15 years 12 months ago
Case-Based Student Modeling in Multi-agent Learning Environment
Abstract. The student modeling (SM) is a core component in the development of Intelligent Learning Environments (ILEs). In this paper we describe how a Multi-agent Intelligent Lear...
Carolina González, Juan C. Burguillo-Rial, ...
SP
2010
IEEE
187views Security Privacy» more  SP 2010»
15 years 10 months ago
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
Robin Sommer, Vern Paxson