Scientific data are available through an increasing number of heterogeneous, independently evolving, sources. Although the sources themselves are independently evolving, the data ...
Anastasios Kementsietsidis, Frank Neven, Dieter Va...
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
: ExtraPlanT system is a multi-agent production planning system designed for small factories, which needs to react quickly on market changes. To deal with this requirement, ExtraPl...
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...