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» Common Semantics for Use Cases and Task Models
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CIDM
2007
IEEE
15 years 8 months ago
Efficient Kernel-based Learning for Trees
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 ...
CIKM
2009
Springer
15 years 10 months ago
Supervised semantic indexing
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...
ICML
1997
IEEE
16 years 4 months ago
Robot Learning From Demonstration
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...
Christopher G. Atkeson, Stefan Schaal
ESWS
2008
Springer
15 years 5 months ago
Mymory: Enhancing a Semantic Wiki with Context Annotations
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...
DASC
2006
IEEE
15 years 10 months ago
Thermal-Aware Task Scheduling to Minimize Energy Usage of Blade Server Based Datacenters
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...