1062 search results - page 39 / 213 » Sublinear Optimization for Machine Learning |
ML
2007
ACM
13 years 8 months ago
2007
ACM
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
AIEDAM
1998
13 years 8 months ago
1998
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
ICML
2007
IEEE
14 years 9 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...
ALT
2002
Springer
14 years 6 months ago
2002
Springer
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...