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ESANN
2007
15 years 7 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
DKE
2007
130views more  DKE 2007»
15 years 6 months ago
Enabling access-privacy for random walk based data analysis applications
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Ping Lin, K. Selçuk Candan
KDD
2010
ACM
286views Data Mining» more  KDD 2010»
15 years 4 months ago
Nonnegative shared subspace learning and its application to social media retrieval
Although tagging has become increasingly popular in online image and video sharing systems, tags are known to be noisy, ambiguous, incomplete and subjective. These factors can ser...
Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Tru...
CL
2012
Springer
13 years 8 months ago
Object swapping challenges: An evaluation of imageSegment
In object-oriented systems, runtime memory is composed of an object graph in which objects refer to other objects. This graph of objects evolves while the system is running. Graph...
Mariano Martinez Peck, Noury Bouraqadi, Sté...
ADVIS
2004
Springer
15 years 11 months ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...