9 search results - page 1 / 2 » Model selection strategies for identifying most relevant cov... |
35
Voted
CSDA
2010
14 years 11 months ago
2010
106
Voted
UAI
2008
15 years 10 days ago
2008
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
MICCAI
2010
Springer
14 years 9 months ago
2010
Springer
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
NIPS
1998
15 years 7 days ago
1998
Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered re...
131
Voted
ESANN
2004
15 years 9 days ago
2004
This work focuses on one of the most critical issues to plague the wireless telecommunications industry today: the loss of a valuable subscriber to a competitor, also defined as ch...