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UAI
2008
15 years 6 months ago
Learning Arithmetic Circuits
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
Daniel Lowd, Pedro Domingos
TSMC
1998
99views more  TSMC 1998»
15 years 4 months ago
Learning visually guided grasping: a test case in sensorimotor learning
Abstract—We present a general scheme for learning sensorimotor tasks which allows rapid on-line learning and generalization of the learned knowledge to unfamiliar objects. The sc...
Ishay Kamon, Tamar Flash, Shimon Edelman
FUIN
2008
108views more  FUIN 2008»
15 years 3 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
COLT
2005
Springer
15 years 10 months ago
Unlabeled Compression Schemes for Maximum Classes,
We give a compression scheme for any maximum class of VC dimension d that compresses any sample consistent with a concept in the class to at most d unlabeled points from the domain...
Dima Kuzmin, Manfred K. Warmuth
ODR
2008
15 years 6 months ago
RisolviOnline: Online Mediation from a Very Practical Point of View
This paper consists of a summary of the lessons learned from seven years of experience in online mediation and set future trends. Keywords. Online Dispute Resolution, ODR, mediatio...
Roberta Regazzoni