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» Structured Output-Associative Regression
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AI
2000
Springer
13 years 8 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
3DIM
2011
IEEE
12 years 8 months ago
Human Body Shape Prediction and Analysis Using Predictive Clustering Tree
—Predictive modeling aims at constructing models that predict a target property of an object based on its descriptions. In digital human modeling, it can be applied to predicting...
Pengcheng Xi, Hongyu Guo, Chang Shu
ISPD
2012
ACM
252views Hardware» more  ISPD 2012»
12 years 4 months ago
Towards layout-friendly high-level synthesis
There are two prominent problems with technology scaling: increasing design complexity and more challenges with interconnect design, including routability. High-level synthesis ha...
Jason Cong, Bin Liu 0006, Guojie Luo, Raghu Prabha...
JMLR
2010
119views more  JMLR 2010»
13 years 3 months ago
The Group Dantzig Selector
We introduce a new method -- the group Dantzig selector -- for high dimensional sparse regression with group structure, which has a convincing theory about why utilizing the group...
Han Liu, Jian Zhang 0003, Xiaoye Jiang, Jun Liu
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 9 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...