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GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 10 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
ALT
2010
Springer
15 years 8 months ago
Online Multiple Kernel Learning: Algorithms and Mistake Bounds
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
Rong Jin, Steven C. H. Hoi, Tianbao Yang
DMIN
2006
132views Data Mining» more  DMIN 2006»
15 years 8 months ago
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Janaki Gopalan, Reda Alhajj, Ken Barker
ARITH
2005
IEEE
16 years 9 days ago
A Hardware Algorithm for Integer Division
Abstract— A hardware algorithm for integer division is proposed. It is based on the digit-recurrence, non-restoring division algorithm. Fast computation is achieved by the use of...
Naofumi Takagi, Shunsuke Kadowaki, Kazuyoshi Takag...
ICML
1990
IEEE
15 years 10 months ago
Average Case Analysis of Conjunctive Learning Algorithms
We present an approach to modeling the average case behavior of learning algorithms. Our motivation is to predict the expected accuracy of learning algorithms as a function of the...
Michael J. Pazzani, Wendy Sarrett