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» A Unified Approach to Approximate Proximity Searching
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SIGIR
2008
ACM
13 years 7 months ago
Learning query intent from regularized click graphs
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...
Xiao Li, Ye-Yi Wang, Alex Acero
EDBT
2008
ACM
124views Database» more  EDBT 2008»
14 years 7 months ago
Multi-dimensional search for personal information management systems
With the explosion in the amount of semi-structured data users access and store in personal information management systems, there is a need for complex search tools to retrieve of...
Amélie Marian, Christopher Peery, Thu D. Ng...
NIPS
1998
13 years 8 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore
CORR
2010
Springer
249views Education» more  CORR 2010»
13 years 7 months ago
Lower Bounds on Near Neighbor Search via Metric Expansion
In this paper we show how the complexity of performing nearest neighbor (NNS) search on a metric space is related to the expansion of the metric space. Given a metric space we loo...
Rina Panigrahy, Kunal Talwar, Udi Wieder
POPL
2002
ACM
14 years 7 months ago
An efficient profile-analysis framework for data-layout optimizations
Data-layout optimizations rearrange fields within objects, objects within objects, and objects within the heap, with the goal of increasing spatial locality. While the importance ...
Rastislav Bodík, Shai Rubin, Trishul M. Chi...