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» Partitioning Sets with Genetic Algorithms
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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 9 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
137
Voted
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
15 years 4 months ago
Evolutionary facial feature selection
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Aaron K. Baughman
119
Voted
AAMAS
2010
Springer
15 years 3 months ago
Multi-goal economic search using dynamic search structures
This paper investigates cooperative search strategies for agents engaged in costly search in a complex environment. Searching cooperatively, several search goals can be satisfied w...
David Sarne, Efrat Manisterski, Sarit Kraus
150
Voted
ICTAI
2005
IEEE
15 years 9 months ago
Subgoal Ordering and Granularity Control for Incremental Planning
In this paper, we study strategies in incremental planning for ordering and grouping subproblems partitioned by the subgoals of a planning problem when each subproblem is solved b...
Chih-Wei Hsu, Yixin Chen
RTAS
2005
IEEE
15 years 9 months ago
Energy-Aware Task Allocation for Rate Monotonic Scheduling
We consider the problem of energy minimization for periodic preemptive hard real-time tasks that are scheduled on an identical multiprocessor platform with dynamic voltage scaling...
Tarek A. AlEnawy, Hakan Aydin