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ML
2012
ACM
413views Machine Learning» more  ML 2012»
12 years 3 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
NIPS
2008
13 years 9 months ago
Characteristic Kernels on Groups and Semigroups
Embeddings of random variables in reproducing kernel Hilbert spaces (RKHSs) may be used to conduct statistical inference based on higher order moments. For sufficiently rich (char...
Kenji Fukumizu, Bharath K. Sriperumbudur, Arthur G...
JCST
2010
189views more  JCST 2010»
13 years 2 months ago
Formally Analyzing Expected Time Complexity of Algorithms Using Theorem Proving
Probabilistic techniques are widely used in the analysis of algorithms to estimate the computational complexity of algorithms or a computational problem. Traditionally, such analys...
Osman Hasan, Sofiène Tahar
CONSTRAINTS
2010
101views more  CONSTRAINTS 2010»
13 years 7 months ago
Evaluating the impact of AND/OR search on 0-1 integer linear programming
AND/OR search spaces accommodate advanced algorithmic schemes for graphical models which can exploit the structure of the model. We extend and evaluate the depth-first and best-fi...
Radu Marinescu 0002, Rina Dechter
AMIRE
2005
Springer
198views Robotics» more  AMIRE 2005»
14 years 1 months ago
Extending the Temporal Horizon of Autonomous Robots
Abstract. We introduce mathematically rigorous metrics on agent experiences having various temporal horizons. Sensorimotor variables accessible to the agent are treated as informat...
Chrystopher L. Nehaniv, Naeem Assif Mirza, Kerstin...