1419 search results - page 68 / 284 » Approximation Methods for Supervised Learning |
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
IJCAI
2001
13 years 11 months ago
2001
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
This paper addresses the problem of approximate singular value decomposition of large dense matrices that arises naturally in many machine learning applications. We discuss two re...
KDD
2010
ACM
14 years 1 months ago
2010
ACM
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...