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» Data Mining: Machine Learning, Statistics, and Databases
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CIARP
2008
Springer
15 years 3 months ago
Learning and Forgetting with Local Information of New Objects
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
Fernando Vázquez, José Salvador S&aa...
CORR
2000
Springer
120views Education» more  CORR 2000»
15 years 1 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
97
Voted
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
15 years 11 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
13 years 4 months ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...
CMMR
2007
Springer
114views Music» more  CMMR 2007»
15 years 7 months ago
A Meta-analysis of Timbre Perception Using Nonlinear Extensions to CLASCAL
Abstract. Seeking to identify the constituent parts of the multidimensional auditory attribute that musicians know as timbre, music psychologists have made extensive use of multidi...
John Ashley Burgoyne, Stephen McAdams