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» Learning Model Complexity in an Online Environment
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FOCI
2007
IEEE
15 years 6 months ago
Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency
Recent progress in genomics and proteomics makes it possible to understand the biological networks at the systems level. We aim to develop computational models of learning and memo...
Byoung-Tak Zhang
AUTONOMICS
2007
ACM
15 years 3 months ago
Adaptive learning of semantic locations and routes
Abstract. Adaptation of devices and applications based on contextual information has a great potential to enhance usability and mitigate the increasing complexity of mobile devices...
Keshu Zhang, Haifeng Li, Kari Torkkola, Mike Gardn...
CIDM
2007
IEEE
15 years 3 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 ...
ESANN
2008
15 years 1 months ago
Learning Inverse Dynamics: a Comparison
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Ber...
LREC
2010
203views Education» more  LREC 2010»
15 years 1 months ago
MPC: A Multi-Party Chat Corpus for Modeling Social Phenomena in Discourse
In this paper, we describe our experience with collecting and creating an annotated corpus of multi-party online conversations in a chat-room environment. This effort is part of a...
Samira Shaikh, Tomek Strzalkowski, Aaron Broadwell...