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AIR
2005
119views more  AIR 2005»
13 years 9 months ago
An Assessment of Case-Based Reasoning for Spam Filtering
Because of the changing nature of spam, a spam filtering system that uses machine learning will need to be dynamic. This suggests that a case-based (memory-based) approach may work...
Sarah Jane Delany, Padraig Cunningham, Lorcan Coyl...
PPOPP
2010
ACM
14 years 6 months ago
Modeling transactional memory workload performance
Transactional memory promises to make parallel programming easier than with fine-grained locking, while performing just as well. This performance claim is not always borne out bec...
Donald E. Porter, Emmett Witchel
HPDC
1997
IEEE
14 years 1 months ago
Predicting Slowdown for Networked Workstations
Most applications share the resources of networked workstations with other applications. Since system load can vary dramatically, allocation strategies that assume that resources ...
Silvia M. Figueira, Francine Berman
UAI
2004
13 years 10 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
RECOMB
2005
Springer
14 years 9 months ago
Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
Many important cellular response mechanisms are activated when a peptide binds to an appropriate receptor. In the immune system, the recognition of pathogen peptides begins when th...
Chen Yanover, Tomer Hertz