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CONSTRAINTS
1999
105views more  CONSTRAINTS 1999»
15 years 6 months ago
Algorithmic Power from Declarative Use of Redundant Constraints
Interval constraints can be used to solve problems in numerical analysis. In this paper we show that one can improve the performance of such an interval constraint program by the ...
Maarten H. van Emden
POPL
2010
ACM
16 years 4 months ago
Compositional May-Must Program Analysis: Unleashing the Power of Alternation
Program analysis tools typically compute two types of information: (1) may information that is true of all program executions and is used to prove the absence of bugs in the progr...
Aditya V. Nori, Patrice Godefroid, SaiDeep Tetali,...
ADAEUROPE
2007
Springer
16 years 1 months ago
Towards the Testing of Power-Aware Software Applications for Wireless Sensor Networks
The testing of programs in wireless sensor networks (WSN) is an important means to assure quality but is a challenging process. As pervasive computing has been identified as a not...
W. K. Chan, Tsong Yueh Chen, S. C. Cheung, T. H. T...
DCG
1998
59views more  DCG 1998»
15 years 6 months ago
A Probabilistic Analysis of the Power of Arithmetic Filters
The assumption of real-number arithmetic, which is at the basis of conventional geometric algorithms, has been seriously challenged in recent years, since digital computers do not...
Olivier Devillers, Franco P. Preparata
ALT
2011
Springer
14 years 6 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau