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103
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DCC
2009
IEEE
16 years 3 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
137
Voted
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 2 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
125
Voted
HPCA
2003
IEEE
16 years 2 months ago
Memory System Behavior of Java-Based Middleware
Java-based middleware, and application servers in particular, are rapidly gaining importance as a new class of workload for commercial multiprocessor servers. SPEC has recognized ...
Martin Karlsson, Kevin E. Moore, Erik Hagersten, D...
247
Voted
POPL
2008
ACM
16 years 2 months ago
Multiparty asynchronous session types
Communication is becoming one of the central elements in software development. As a potential typed foundation for structured communication-centred programming, session types have...
Kohei Honda, Nobuko Yoshida, Marco Carbone
POPL
2008
ACM
16 years 2 months ago
Relevance heuristics for program analysis
Relevance heuristics allow us to tailor a program analysis to a particular property to be verified. This in turn makes it possible to improve the precision of the analysis where n...
Kenneth L. McMillan
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