1419 search results - page 163 / 284 » Approximation Methods for Supervised Learning |
115
Voted
MICAI
2007
Springer
15 years 8 months ago
2007
Springer
A problem of supervised approaches for text classification is that they commonly require high-quality training data to construct an accurate classifier. Unfortunately, in many real...
113
Voted
ICML
2002
IEEE
16 years 3 months ago
2002
IEEE
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
119
click to vote
SAB
2010
Springer
15 years 18 days ago
2010
Springer
Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...
129
click to vote
NIPS
2007
15 years 3 months ago
2007
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
121
Voted
NIPS
2008
15 years 3 months ago
2008
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...