2395 search results - page 155 / 479 » A selective sampling approach to active feature selection |
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there ma...
ECCV
2006
Springer
15 years 12 months ago
2006
Springer
Abstract. We present a novel method for dimensionality reduction and recognition based on Linear Discriminant Analysis (LDA), which specifically deals with the Small Sample Size (S...
AI
2009
Springer
15 years 4 months ago
2009
Springer
In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
KBSE
2008
IEEE
15 years 4 months ago
2008
IEEE
Run-time monitoring can provide important insights about a program’s behavior and, for simple properties, it can be done efficiently. Monitoring properties describing sequences...
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AAAI
2006
14 years 11 months ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...