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ICML
2004
IEEE
16 years 1 months ago
Sequential skewing: an improved skewing algorithm
This paper extends previous work on the Skewing algorithm, a promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parit...
Soumya Ray, David Page
91
Voted
STOC
2003
ACM
122views Algorithms» more  STOC 2003»
16 years 1 months ago
Learning juntas
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
89
Voted
ICCD
2004
IEEE
106views Hardware» more  ICCD 2004»
15 years 9 months ago
A New Statistical Optimization Algorithm for Gate Sizing
— In this paper, we approach the gate sizing problem in VLSI circuits in the context of increasing variability of process and circuit parameters as technology scales into the nan...
Murari Mani, Michael Orshansky
109
Voted
ICPR
2010
IEEE
15 years 7 months ago
Probabilistic Modeling of Dynamic Traffic Flow across Non-Overlapping Camera Views
In this paper, we propose a probabilistic method to model the dynamic traffic flow across nonoverlapping camera views. By assuming the transition time of object movement follows a...
Ching-Chun Huang, Wei-Chen Chiu, Sheng-Jyh Wang, J...
95
Voted
EVOW
2009
Springer
15 years 7 months ago
Binary Exponential Back Off for Tabu Tenure in Hyperheuristics
In this paper we propose a new tabu search hyperheuristic which makes individual low level heuristics tabu dynamically using an analogy with the Binary Exponential Back Off (BEBO) ...
Stephen Remde, Keshav P. Dahal, Peter I. Cowling, ...