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» Extracting Web Data Using Instance-Based Learning
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109
Voted
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 3 months ago
Practical guide to controlled experiments on the web: listen to your customers not to the hippo
The web provides an unprecedented opportunity to evaluate ideas quickly using controlled experiments, also called randomized experiments (single-factor or factorial designs), A/B ...
Ron Kohavi, Randal M. Henne, Dan Sommerfield
119
Voted
ICCV
2007
IEEE
16 years 4 months ago
Classification of Weakly-Labeled Data with Partial Equivalence Relations
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
Sanjiv Kumar, Henry A. Rowley
ICPR
2004
IEEE
16 years 3 months ago
Visual Learning and Recognition of a Probabilistic Spatio-Temporal Model of Cyclic Human Locomotion
We present a novel representation of cyclic human locomotion based on a set of spatio-temporal curves of tracked points on the surface of a person. We start by extracting a set of...
Miha Peternel, Ales Leonardis
135
Voted
ESWS
2008
Springer
15 years 4 months ago
XSPARQL: Traveling between the XML and RDF Worlds - and Avoiding the XSLT Pilgrimage
With currently available tools and languages, translating between an existing XML format and RDF is a tedious and error-prone task. The importance of this problem is acknowledged b...
Waseem Akhtar, Jacek Kopecký, Thomas Krennw...
131
Voted
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 3 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher