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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 7 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
JMLR
2002
117views more  JMLR 2002»
15 years 6 months ago
Learning to Construct Fast Signal Processing Implementations
A single signal processing algorithm can be represented by many mathematically equivalent formulas. However, when these formulas are implemented in code and run on real machines, ...
Bryan Singer, Manuela M. Veloso
ACMSE
2008
ACM
15 years 8 months ago
Studio-based learning in CS2: an experience report
Recently there has been a surge of interest in making computer science education attractive to potential students, motivating to current students, and relevant to graduating stude...
Lakshman Myneni, Margaret Ross, T. Dean Hendrix, N...
ECAI
2008
Springer
15 years 8 months ago
Reinforcement Learning with the Use of Costly Features
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...
Robby Goetschalckx, Scott Sanner, Kurt Driessens
CVPR
2007
IEEE
16 years 8 months ago
Learning Kernel Expansions for Image Classification
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
Fernando De la Torre, Oriol Vinyals