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DAWAK
2010
Springer
15 years 6 months ago
Modelling Complex Data by Learning Which Variable to Construct
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
Françoise Fessant, Aurélie Le Cam, M...
CORR
2002
Springer
108views Education» more  CORR 2002»
15 years 6 months ago
Vote Elicitation: Complexity and Strategy-Proofness
Preference elicitation is a central problem in AI, and has received significant attention in single-agent settings. It is also a key problem in multiagent systems, but has receive...
Vincent Conitzer, Tuomas Sandholm
CACM
2006
95views more  CACM 2006»
15 years 6 months ago
Computational thinking
ional thinking is using abstraction and decomposition when attacking a large complex task or designing a large complex system. It is separation of concerns. It is choosing an appro...
Jeannette M. Wing
KES
1998
Springer
15 years 10 months ago
Attractor systems and analog computation
Attractor systems are useful in neurodynamics,mainly in the modelingof associative memory. Thispaper presentsa complexity theory for continuous phase space dynamical systems with ...
Hava T. Siegelmann, Shmuel Fishman
JUCS
2006
101views more  JUCS 2006»
15 years 6 months ago
DS/CDMA Multiuser Detection with Evolutionary Algorithms
This work analyses two heuristic algorithms based on the genetic evolution theory applied to direct sequence code division multiple access (DS/CDMA) communication systems. For diff...
Fernando Ciriaco, Taufik Abrão, Paul Jean E...