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TKDE
2012
245views Formal Methods» more  TKDE 2012»
12 years 21 days ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 4 months ago
A phenotypic analysis of GP-evolved team behaviours
This paper presents an approach to analyse the behaviours of teams of autonomous agents who work together to achieve a common goal. The agents in a team are evolved together using...
Darren Doherty, Colm O'Riordan
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
13 years 1 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
SIGMOD
2009
ACM
137views Database» more  SIGMOD 2009»
14 years 10 months ago
Advances in flash memory SSD technology for enterprise database applications
The past few decades have witnessed a chronic and widening imbalance among processor bandwidth, disk capacity, and access speed of disk. According to Amdhal's law, the perfor...
Sang-Won Lee, Bongki Moon, Chanik Park
CISIS
2008
IEEE
14 years 4 months ago
Hardware Software Partitioning Problem in Embedded System Design Using Particle Swarm Optimization Algorithm
Hardware/software partitioning is a crucial problem in embedded system design. In this paper, we provide an alternative approach to solve this problem using Particle Swarm Optimiz...
Alakananda Bhattacharya, Amit Konar, Swagatam Das,...