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IJCAI
2003
15 years 6 months ago
A Planning Algorithm for Predictive State Representations
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
Masoumeh T. Izadi, Doina Precup
DAC
2007
ACM
16 years 6 months ago
MP-trees: A Packing-Based Macro Placement Algorithm for Mixed-Size Designs
In this paper, we present a new multi-packing tree (MP-tree) representation for macro placement to handle mixed-size designs. Based on binary trees, the MP-tree is very efficient,...
Tung-Chieh Chen, Ping-Hung Yuh, Yao-Wen Chang, Fwu...
TCAD
2008
99views more  TCAD 2008»
15 years 4 months ago
MP-Trees: A Packing-Based Macro Placement Algorithm for Modern Mixed-Size Designs
In this paper, we present a new multipacking-tree (MP-tree) representation for macro placements to handle modern mixed-size designs with large macros and high chip utilization rate...
Tung-Chieh Chen, Ping-Hung Yuh, Yao-Wen Chang, Few...
171
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WAW
2010
Springer
270views Algorithms» more  WAW 2010»
15 years 2 months ago
Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks
Abstract. Motivated by social network data mining problems such as link prediction and collaborative filtering, significant research effort has been devoted to computing topologica...
Pooya Esfandiar, Francesco Bonchi, David F. Gleich...
ICCV
2009
IEEE
15 years 2 months ago
Learning with dynamic group sparsity
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas