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ACE
2004
315views Education» more  ACE 2004»
15 years 8 months ago
Applying SPICE to e-Learning: An e-Learning Maturity Model?
The Capability Maturity Model and SPICE approach to software process improvement has resulted in a robust system for improving development process capability in the field of softw...
Stephen Marshall, Geoff Mitchell
ICML
2003
IEEE
16 years 7 months ago
Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
Chris Mesterharm
SAC
2005
ACM
16 years 2 days ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
16 years 25 days ago
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...
NIPS
1998
15 years 7 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller