Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
We present a class of models that are discriminatively trained to directly map from the word content in a query-document or documentdocument pair to a ranking score. Like Latent Se...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. In our approach to learning from demonstration th...
Abstract. For document-centric work, meta-information in form of annotations has proven useful to enhance search and other retrieval tasks. The Mymory project1 uses a web-based wor...
Malte Kiesel, Sven Schwarz, Ludger van Elst, Georg...
Blade severs are being increasingly deployed in modern datacenters due to their high performance/cost ratio and compact size. In this study, we document our work on blade server b...
Qinghui Tang, Sandeep K. S. Gupta, Daniel Stanzion...