Sciweavers

2960 search results - page 117 / 592
» Learning from Multiple Sources
Sort
View
ICANN
2009
Springer
15 years 4 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...
EXPERT
2008
134views more  EXPERT 2008»
14 years 10 months ago
Learning to Tag and Tagging to Learn: A Case Study on Wikipedia
Natural language technologies have been long envisioned to play a crucial role in transitioning from the current Web to a more "semantic" Web. If anything, the significa...
Peter Mika, Massimiliano Ciaramita, Hugo Zaragoza,...
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
14 years 11 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
FLAIRS
2010
14 years 11 months ago
Progress Towards Effective Automated Reasoning with World Knowledge
There is a growing demand for automated reasoning with world knowledge. SPASS-XDB is an automated reasoning system that incorporates world knowledge from multiple external sources...
Geoff Sutcliffe, Martin Suda, Alexandra Teyssandie...
IVCNZ
1998
14 years 11 months ago
Height from Gradients in Polar Coordinates
This paper presents a new approach to integrate the gradient field to the relative depth or height map from multiple view directions in polar coordinates. Traditional integration ...
Jin Luo, Karsten Schlüns