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» Measuring Distributional Similarity in Context
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CC
2002
Springer
131views System Software» more  CC 2002»
13 years 8 months ago
Global Variable Promotion: Using Registers to Reduce Cache Power Dissipation
Global variable promotion, i.e. allocating unaliased globals to registers, can significantly reduce the number of memory operations. This results in reduced cache activity and less...
Andrea G. M. Cilio, Henk Corporaal
ICPR
2004
IEEE
14 years 10 months ago
A Probabilistic Approach to Learning Costs for Graph Edit Distance
Graph edit distance provides an error-tolerant way to measure distances between attributed graphs. The effectiveness of edit distance based graph classification algorithms relies ...
Horst Bunke, Michel Neuhaus
KDD
2001
ACM
153views Data Mining» more  KDD 2001»
14 years 9 months ago
Evaluation of prediction models for marketing campaigns
We consider prediction-model evaluation in the context of marketing-campaign planning. In order to evaluate and compare models with specific campaign objectives in mind, we need t...
Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vat...
ALT
2005
Springer
14 years 5 months ago
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
Nick Palmer, Paul W. Goldberg
HPCA
2006
IEEE
14 years 2 months ago
Speculative synchronization and thread management for fine granularity threads
Performance of multithreaded programs is heavily influenced by the latencies of the thread management and synchronization operations. Improving these latencies becomes especially...
Alex Gontmakher, Avi Mendelson, Assaf Schuster, Gr...