Sciweavers

1419 search results - page 135 / 284
» Approximation Methods for Supervised Learning
Sort
View
99
Voted
ICTIR
2009
Springer
14 years 10 months ago
Training Data Cleaning for Text Classification
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...
Andrea Esuli, Fabrizio Sebastiani
131
Voted
JMLR
2010
198views more  JMLR 2010»
14 years 7 months ago
Online Anomaly Detection under Adversarial Impact
Security analysis of learning algorithms is gaining increasing importance, especially since they have become target of deliberate obstruction in certain applications. Some securit...
Marius Kloft, Pavel Laskov
129
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Approximation of pattern transformation manifolds with parametric dictionaries
The construction of low-dimensional models explaining highdimensional signal observations provides concise and efficient data representations. In this paper, we focus on pattern ...
Elif Vural, Pascal Frossard
ICML
2007
IEEE
16 years 1 months ago
Learning state-action basis functions for hierarchical MDPs
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
Sarah Osentoski, Sridhar Mahadevan
92
Voted
ICDM
2007
IEEE
106views Data Mining» more  ICDM 2007»
15 years 7 months ago
High-Speed Function Approximation
We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
Biswanath Panda, Mirek Riedewald, Johannes Gehrke,...