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» Scalable Keyword Search on Large Data Streams
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EDBT
2010
ACM
206views Database» more  EDBT 2010»
15 years 6 months ago
Efficient computation of trade-off skylines
When selecting alternatives from large amounts of data, trade-offs play a vital role in everyday decision making. In databases this is primarily reflected by the top-k retrieval p...
Christoph Lofi, Ulrich Güntzer, Wolf-Tilo Bal...
HPDC
2009
IEEE
15 years 6 months ago
Resource co-allocation for large-scale distributed environments
Advances in the development of large scale distributed computing systems such as Grids and Computing Clouds have intensified the need for developing scheduling algorithms capable...
Claris Castillo, George N. Rouskas, Khaled Harfous...
94
Voted
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 19 hour ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
95
Voted
ATAL
2007
Springer
15 years 5 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
CIKM
2005
Springer
15 years 5 months ago
Query expansion using random walk models
It has long been recognized that capturing term relationships is an important aspect of information retrieval. Even with large amounts of data, we usually only have significant ev...
Kevyn Collins-Thompson, Jamie Callan