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CORR
2006
Springer
93views Education» more  CORR 2006»
14 years 9 months ago
Functional dissipation microarrays for classification
In this article, we describe a new method of extracting information from signals, called functional dissipation, that proves to be very effective for enhancing classification of h...
D. Napoletani, Daniele C. Struppa, T. Sauer, V. Mo...
PLDI
2011
ACM
14 years 20 days ago
Safe optimisations for shared-memory concurrent programs
Current proposals for concurrent shared-memory languages, including C++ and C, provide sequential consistency only for programs without data races (the DRF guarantee). While the i...
Jaroslav Sevcík
CONCUR
2004
Springer
15 years 3 months ago
Probabilistic Event Structures and Domains
Abstract. This paper studies how to adjoin probability to event structures, leading to the model of probabilistic event structures. In their simplest form probabilistic choice is l...
Daniele Varacca, Hagen Völzer, Glynn Winskel
SIGCSE
2012
ACM
310views Education» more  SIGCSE 2012»
13 years 5 months ago
CSTutor: a pen-based tutor for data structure visualization
We present CSTutor, a sketch-based interface designed to help students understand data structures. It currently supports Linked Lists, Binary Search Trees, AVL Trees, and Heaps, a...
Sarah Buchanan, Brandon Ochs, Joseph J. LaViola Jr...
GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 4 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall