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KDD
2005
ACM
165views Data Mining» more  KDD 2005»
14 years 8 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
IROS
2009
IEEE
129views Robotics» more  IROS 2009»
14 years 2 months ago
Predicting the navigation performance of underwater vehicles
— In this paper we present a general framework for predicting the positioning uncertainty of underwater vehicles. We apply this framework to common examples from marine robotics:...
Brian Bingham
ATAL
2005
Springer
14 years 1 months ago
Knowledge and social laws
In this paper we combine existing work in the area of social laws with a framework for reasoning about knowledge in multi-agent systems. The unifying framework in which this is do...
Wiebe van der Hoek, Mark Roberts, Michael Wooldrid...
CORR
2006
Springer
100views Education» more  CORR 2006»
13 years 7 months ago
Pivotal and Pivotal-discriminative Consequence Relations
In the present paper, we investigate consequence relations that are both paraconsistent and plausible (but still monotonic). More precisely, we put the focus on pivotal consequenc...
Jonathan Ben-Naim
SADM
2008
178views more  SADM 2008»
13 years 7 months ago
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon