9888 search results - page 8 / 1978 » Active Algorithm Selection |
IJON
2007
13 years 8 months ago
2007
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples and thereby increase speed a...
SIGIR
2008
ACM
13 years 8 months ago
2008
ACM
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
NECO
2008
13 years 8 months ago
2008
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
NIPS
2007
13 years 10 months ago
2007
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
ICDM
2007
IEEE
14 years 19 days ago
2007
IEEE
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...