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IJCNN
2008
IEEE
15 years 11 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
122
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ACSC
2002
IEEE
15 years 9 months ago
Learning and the Reflective Journal in Computer Science
This paper describes the use of the reflective journal in a computer programming course at the University of South Australia. We describe rationale for the journal relating it to ...
S. E. George
ATAL
2006
Springer
15 years 8 months ago
Learning the required number of agents for complex tasks
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
Sébastien Paquet, Brahim Chaib-draa
EDUTAINMENT
2006
Springer
15 years 8 months ago
Research of Dynamic Terrain in Complex Battlefield Environments
In this paper, we present a novel method for dynamic terrain in battlefield and an efficient plan to simulate crater in the battle. We explore a few methods for dynamic terrain sur...
Xingquan Cai, Fengxia Li, Haiyan Sun, Shouyi Zhan
COLT
2008
Springer
15 years 6 months ago
Combining Expert Advice Efficiently
We show how models for prediction with expert advice can be defined concisely and clearly using hidden Markov models (HMMs); standard HMM algorithms can then be used to efficientl...
Wouter M. Koolen, Steven de Rooij