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CIDM
2007
IEEE
15 years 10 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 ...
CSE
2009
IEEE
15 years 10 months ago
Information Technology Capabilities for Digital Social Networks
This paper contributes to the evolving body of knowledge pertaining to the study of digitally-enabled social networks, their usage, and their effects on people, organization, and s...
Camille Grange, Izak Benbasat
AAAI
2008
15 years 8 months ago
Probabilistic Planning via Determinization in Hindsight
This paper investigates hindsight optimization as an approach for leveraging the significant advances in deterministic planning for action selection in probabilistic domains. Hind...
Sung Wook Yoon, Alan Fern, Robert Givan, Subbarao ...
FLAIRS
2006
15 years 7 months ago
Context-based Term Disambiguation in Biomedical Literature
The huge volumes of unstructured texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information...
Ping Chen, Hisham Al-Mubaid
NIPS
2004
15 years 7 months ago
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees
Prediction suffix trees (PST) provide a popular and effective tool for tasks such as compression, classification, and language modeling. In this paper we take a decision theoretic...
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer