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» An Application Framework for Collaborative Learning
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120
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IJCV
2007
208views more  IJCV 2007»
15 years 3 months ago
Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes
We derive a family of kernels on dynamical systems by applying the Binet-Cauchy theorem to trajectories of states. Our derivation provides a unifying framework for all kernels on d...
S. V. N. Vishwanathan, Alexander J. Smola, Ren&eac...
94
Voted
KES
2004
Springer
15 years 8 months ago
ADS as Information Management Service in an M-Learning Environment
Leveraging the potential power of even small handheld devices able to communicate wirelessly requires dedicated support. In particular, collaborative applications need sophisticate...
Matthias R. Brust, Daniel Görgen, Christian H...
IAT
2005
IEEE
15 years 9 months ago
Exploiting Multi-Agent Interactions for Identifying the Best-Payoff Information Source
In many different applications on the Web, distributed agents would like to discover and access high quality information sources. This is a challenging problem since an agent does...
Young-Woo Seo, Katia P. Sycara
122
Voted
CHI
2005
ACM
15 years 5 months ago
Relescope: an experiment in accelerating relationships
Busy academics and professionals are being called upon to manage more and more relationships. Many details of collaboration are accessible in digital libraries and other repositor...
Stephen Farrell, Christopher S. Campbell, Suvda My...
151
Voted
AAAI
2010
15 years 5 months ago
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Ian Porteous, Arthur Asuncion, Max Welling