267 search results - page 25 / 54 » Convex optimization for the design of learning machines |
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
EWCBR
2004
Springer
14 years 2 months ago
2004
Springer
Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in different areas. The performance of CBR systems depends on several factor...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
We present a data structure enabling efficient nearest neighbor (NN) retrieval for bregman divergences. The family of bregman divergences includes many popular dissimilarity measu...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...