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ICML
2000
IEEE
14 years 7 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore
ICDE
2010
IEEE
491views Database» more  ICDE 2010»
14 years 6 months ago
TrajStore: An Adaptive Storage System for Very Large Trajectory Data Sets
The rise of GPS and broadband-speed wireless devices has led to tremendous excitement about a range of applications broadly characterized as "location based services". Cu...
Philippe Cudré-Mauroux, Eugene Wu, Samuel M...
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
13 years 7 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
ECAI
2006
Springer
13 years 10 months ago
Efficient Knowledge Acquisition for Extracting Temporal Relations
Abstract. Machine learning approaches in natural language processing often require a large annotated corpus. We present a complementary approach that utilizes expert knowledge to o...
Son Bao Pham, Achim G. Hoffmann
ICML
2008
IEEE
14 years 7 months ago
Fast solvers and efficient implementations for distance metric learning
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
Kilian Q. Weinberger, Lawrence K. Saul