Sciweavers

447 search results - page 35 / 90
» Improving the aggregating algorithm for regression
Sort
View
NIPS
2007
13 years 9 months ago
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
Ruslan Salakhutdinov, Geoffrey E. Hinton
WSDM
2009
ACM
138views Data Mining» more  WSDM 2009»
14 years 2 months ago
Integration of news content into web results
Aggregated search refers to the integration of content from specialized corpora or verticals into web search results. Aggregation improves search when the user has vertical intent...
Fernando Diaz
HPDC
2008
IEEE
14 years 2 months ago
Improving peer connectivity in wide-area overlays of virtual workstations
Self-configuring virtual networks rely on structured P2P routing to provide seamless connectivity among nodes through overlay routing of virtual IP packets, support decentralized...
Arijit Ganguly, P. Oscar Boykin, David Wolinsky, R...
ILP
2003
Springer
14 years 29 days ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon
WWW
2009
ACM
14 years 8 months ago
Spatio-temporal models for estimating click-through rate
We propose novel spatio-temporal models to estimate clickthrough rates in the context of content recommendation. We track article CTR at a fixed location over time through a dynam...
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango