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ML
2010
ACM
119views Machine Learning» more  ML 2010»
13 years 5 months ago
A cooperative coevolutionary algorithm for instance selection for instance-based learning
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...
Nicolás García-Pedrajas, Juan Antoni...
ML
2010
ACM
210views Machine Learning» more  ML 2010»
13 years 5 months ago
Mining frequent closed rooted trees
Many knowledge representation mechanisms are based on tree-like structures, thus symbolizing the fact that certain pieces of information are related in one sense or another. There ...
José L. Balcázar, Albert Bifet, Anto...
ISEMANTICS
2010
13 years 5 months ago
An evaluation of approaches to federated query processing over linked data
The Web has evolved from a global information space of linked documents to a web of linked data. The Web of Data enables answering complex, structured queries that could not be an...
Peter Haase, Tobias Mathäß, Michael Zil...
ISEMANTICS
2010
13 years 5 months ago
Towards an approach for formalizing the supply chain operations
Reference models play an important role in the knowledge management of the various complex collaboration domains (such as Supply Chain Networks). However, they often show a lack o...
Milan Zdravkovic, Hervé Panetto, Miroslav T...
ISEMANTICS
2010
13 years 5 months ago
Taking the LIDS off data silos
LInked Data Services (LIDS) denote the integration of dataproviding services and Linked Data. LIDS are parameterised and formally described web resources which return RDF when der...
Sebastian Speiser, Andreas Harth
ML
2008
ACM
110views Machine Learning» more  ML 2008»
13 years 5 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
ICMLC
2010
Springer
13 years 6 months ago
Multiple kernel learning and feature space denoising
We review a multiple kernel learning (MKL) technique called p regularised multiple kernel Fisher discriminant analysis (MK-FDA), and investigate the effect of feature space denois...
Fei Yan, Josef Kittler, Krystian Mikolajczyk
ICMLC
2010
Springer
13 years 6 months ago
Fuzzy clustering with principal component analysis
Min-Zong Rau, Chi-Yuan Yeh, Shie-Jue Lee
ICMLC
2010
Springer
13 years 6 months ago
An integrity-based fuzzy c-means method resolving cluster size sensitivity problem
: Cluster size insensitive FCM (csiFCM) dynamically adjusts the membership value of each object based on the size of the cluster to which it is assigned after defuzzification to re...
Y. H. Lai, P. W. Huang, P. L. Lin