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» On Generators of Random Quasigroup Problems
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ACSW
2004
13 years 9 months ago
Applying Online Gradient Descent Search to Genetic Programming for Object Recognition
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
William D. Smart, Mengjie Zhang
TMC
2008
104views more  TMC 2008»
13 years 8 months ago
Minimum Interference Channel Assignment in Multiradio Wireless Mesh Networks
In this paper, we consider multihop wireless mesh networks, where each router node is equipped with multiple radio interfaces, and multiple channels are available for communication...
Anand Prabhu Subramanian, Himanshu Gupta, Samir R....
AIR
2004
130views more  AIR 2004»
13 years 8 months ago
A Hybrid Framework for Over-Constrained Generalized
Abstract. In this work we study an over-constrained scheduling problem where constraints cannot be relaxed. This problem originates from a local defense agency where activities to ...
Andrew Lim, Brian Rodrigues, Ramesh Thangarajo, Fe...
IEE
2002
72views more  IEE 2002»
13 years 8 months ago
Making inferences with small numbers of training sets
This paper discusses a potential methodological problem with empirical studies assessing project effort prediction systems. Frequently a hold-out strategy is deployed so that the ...
Colin Kirsopp, Martin J. Shepperd
ICCAD
2001
IEEE
192views Hardware» more  ICCAD 2001»
14 years 5 months ago
BOOM - A Heuristic Boolean Minimizer
We present a two-level Boolean minimization tool (BOOM) based on a new implicant generation paradigm. In contrast to all previous minimization methods, where the implicants are ge...
Jan Hlavicka, Petr Fiser