Sciweavers

1419 search results - page 81 / 284
» Approximation Methods for Supervised Learning
Sort
View
ATAL
2007
Springer
14 years 4 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
ECCV
2010
Springer
14 years 14 days ago
Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
IR
2010
13 years 8 months ago
Learning to rank with (a lot of) word features
In this article we present Supervised Semantic Indexing (SSI) which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
CVPR
2010
IEEE
14 years 6 months ago
Semi-supervised Hashing for Scalable Image Retrieval
Large scale image search has recently attracted considerable attention due to easy availability of huge amounts of data. Several hashing methods have been proposed to allow approx...
Jun Wang, Sanjiv Kumar, Shih-Fu Chang
DEXAW
2008
IEEE
185views Database» more  DEXAW 2008»
14 years 4 months ago
Axiom-Based Feedback Cycle for Relation Extraction in Ontology Learning from Text
—The ontology learning from text cycle consists of the consecutive phases of term, synonym, concept, taxonomy and relation extraction. In this paper, a proposal towards the unsup...
Witold Abramowicz, Maria Vargas-Vera, Marek Wisnie...