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» Can Order of Access to Learning Resources Predict Success
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AAAI
2011
12 years 5 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
ISSRE
2008
IEEE
13 years 11 months ago
Detection and Prediction of Resource-Exhaustion Vulnerabilities
Systems connected to the Internet are highly susceptible to denial-of-service attacks that can compromise service availability, causing damage to customers and providers. Due to e...
João Antunes, Nuno Ferreira Neves, Paulo Ve...
SIGIR
2004
ACM
13 years 10 months ago
Learning effective ranking functions for newsgroup search
Web communities are web virtual broadcasting spaces where people can freely discuss anything. While such communities function as discussion boards, they have even greater value as...
Wensi Xi, Jesper Lind, Eric Brill
PERCOM
2003
ACM
14 years 5 months ago
Location Aware Resource Management in Smart Homes
Abstract-- The rapid advances in a wide range of wireless access technologies along with the efficient use of smart spaces have already set the stage for development of smart homes...
Abhishek Roy, Soumya K. Das Bhaumik, Amiya Bhattac...
ICPR
2008
IEEE
14 years 6 months ago
Detecting and ordering salient regions for efficient browsing
We describe an ensemble approach to learning1 salient regions from data partitioned according to the2 distributed processing requirements of large-scale sim-3 ulations. The volume...
Larry Shoemaker, Robert E. Banfield, Larry O. Hall...