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99
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AAAI
1997
15 years 2 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht
115
Voted
ALENEX
2009
106views Algorithms» more  ALENEX 2009»
15 years 1 months ago
Drawing Binary Tanglegrams: An Experimental Evaluation
A tanglegram is a pair of trees whose leaf sets are in oneto-one correspondence; matching leaves are connected by inter-tree edges. In applications such as phylogenetics or hierar...
Martin Nöllenburg, Markus Völker, Alexan...
113
Voted
ESA
2010
Springer
170views Algorithms» more  ESA 2010»
15 years 1 months ago
Streaming Graph Computations with a Helpful Advisor
Motivated by the trend to outsource work to commercial cloud computing services, we consider a variation of the streaming paradigm where a streaming algorithm can be assisted by a...
Graham Cormode, Michael Mitzenmacher, Justin Thale...
104
Voted
ICML
2010
IEEE
15 years 1 months ago
Simple and Efficient Multiple Kernel Learning by Group Lasso
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Mic...
121
Voted
ISLPED
2010
ACM
153views Hardware» more  ISLPED 2010»
15 years 1 months ago
Leakage minimization using self sensing and thermal management
We have developed a system architecture, measuring and modeling techniques, and algorithms for on-line power and energy optimization and thermal management. The starting point for...
Alireza Vahdatpour, Miodrag Potkonjak