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NIPS
2008
13 years 8 months ago
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
Guangzhi Cao, Charles A. Bouman
INFORMATICALT
2007
111views more  INFORMATICALT 2007»
13 years 7 months ago
Oblique Support Vector Machines
In this paper we propose a modified framework of support vector machines, called Oblique Support Vector Machines(OSVMs), to improve the capability of classification. The principl...
Chih-Chia Yao, Pao-Ta Yu
EUSFLAT
2001
144views Fuzzy Logic» more  EUSFLAT 2001»
13 years 8 months ago
Adaptive torque control using a connectionist reinforcement learning agent
The correction of angular misalignment between mating components is a fundamental requirement for their successful assembly. In this paper we present how a learning agent based on...
Lorenzo Brignone, Martin Howarth, S. Sivayoganatha...
ITS
2004
Springer
84views Multimedia» more  ITS 2004»
14 years 21 days ago
Web-Based Intelligent Multimedia Tutoring for High Stakes Achievement Tests
Abstract. We describe Wayang Outpost, a web-based ITS for the Math section of the Scholastic Aptitude Test (SAT). It has several distinctive features: help with multimedia animatio...
Ivon Arroyo, Carole R. Beal, Tom Murray, Rena Wall...
AR
2007
105views more  AR 2007»
13 years 7 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...