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ICML
2010
IEEE
13 years 8 months ago
Multi-Task Learning of Gaussian Graphical Models
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
Jean Honorio, Dimitris Samaras
ICFP
2001
ACM
14 years 7 months ago
Macros as Multi-Stage Computations: Type-Safe, Generative, Binding Macros in MacroML
With few exceptions, macros have traditionally been viewed as operations on syntax trees or even on plain strings. This view makes macros seem ad hoc, and is at odds with two desi...
Steven E. Ganz, Amr Sabry, Walid Taha
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
14 years 1 months ago
Estimating Probability Distribution with Q-learning for Biped Gait Generation and Optimization
— A new biped gait generation and optimization method is proposed in the frame of Estimation of Distribution Algorithms (EDAs) with Q-learning method. By formulating the biped ga...
Lingyun Hu, Changjiu Zhou, Zengqi Sun
ICIP
2002
IEEE
14 years 9 months ago
A curve evolution-based variational approach to simultaneous image restoration and segmentation
In this paper, we introduce a novel approach for simultaneous restoration and segmentation of blurred, noisy images by approaching a variant of the Mumford-Shah functional from a ...
Alan S. Willsky, Andy Tsai, Junmo Kim, Müjdat...
67
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POPL
2008
ACM
14 years 7 months ago
From dirt to shovels: fully automatic tool generation from ad hoc data
An ad hoc data source is any semistructured data source for which useful data analysis and transformation tools are not readily available. Such data must be queried, transformed a...
Kathleen Fisher, David Walker, Kenny Qili Zhu, Pet...