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» Dimensions of machine learning in design
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ML
2008
ACM
13 years 9 months ago
A linear fit gets the correct monotonicity directions
Let f be a function on Rd that is monotonic in every variable. There are 2d possible assignments to the directions of monotonicity (two per variable). We provide sufficient condit...
Malik Magdon-Ismail, Joseph Sill
ICML
2005
IEEE
14 years 10 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky
IJRR
2008
186views more  IJRR 2008»
13 years 9 months ago
Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
Paulina Varshavskaya, Leslie Pack Kaelbling, Danie...
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
14 years 20 days 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
ICALT
2005
IEEE
14 years 2 months ago
Interactivities in Music Intelligent Tutoring System
We report our work in progress in the area of music intelligent tutoring systems (MITS). We discuss the motivation behind the design of GUI that aim to support an interactive lear...
Somnuk Phon-Amnuaisuk, Keh-Siong Chee