We present a lightweight framework for processing uncertain emergent knowledge that comes from multiple resources with varying relevance. The framework is essentially RDF-compatibl...
The understanding of novel compounds is a special case in which we can explore the deep generativity of natural language understanding. We report a model, PUNC, which captures the ...
An important problem often faced by simulation analysts is that of choosing (or selecting) one of several potential system designs. This can be accomplished by comparing output fr...
In this paper, a sub-vector weighting scheme is proposed for the case of small sample in image retrieval with relevance feedback. By partitioning a multi-dimensional visual featur...
Clustering has been shown to be effective in analyzing functional relationships of genes. However, no single clustering method with single distance metric is capable of capturing ...
Fatih Altiparmak, Selnur Erdal, Ozgur Ozturk, Haka...