Resource scheduling in large-scale, volatile desktop grids is challenging because resource state is both dynamic and eclectic. Matching available resources with requests is not al...
Deger Cenk Erdil, Michael J. Lewis, Nael B. Abu-Gh...
We present a method for the automatic generation of oligonucleotide probe sets for DNA microarrays. This approach is well suited particularly for specificity evaluation of design...
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
This paper describes an automatic annotation, or autotagging, algorithm that attaches textual tags to 3D models based on their shape and semantic classes. The proposed method emplo...