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» New Formulations for Optimization under Stochastic Dominance...
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NIPS
1998
13 years 10 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
ICASSP
2009
IEEE
14 years 3 months ago
Quickest change detection in multiple on-off processes
A Bayesian formulation of quickest change detection in multiple onoff processes is obtained within a decision-theoretic framework. For geometrically distributed busy and idle time...
Qing Zhao, Jia Ye
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
14 years 2 months ago
Extended probe method for linkage discovery over high-cardinality alphabets
The work addresses the problem of identifying the epistatic linkage of a function from high cardinality alphabets to the real numbers. It is a generalization of Heckendorn and Wri...
Shude Zhou, Zengqi Sun, Robert B. Heckendorn
TCS
2011
13 years 3 months ago
Sorting and selection on dynamic data
We formulate and study a new computational model for dynamic data. In this model, the data changes gradually and the goal of an algorithm is to compute the solution to some proble...
Aris Anagnostopoulos, Ravi Kumar, Mohammad Mahdian...
ICPR
2008
IEEE
14 years 9 months ago
Human appearance matching across multiple non-overlapping cameras
In this paper, we present a new solution to the problem of appearance matching across multiple nonoverlapping cameras. Objects of interest, pedestrians are represented by a set of...
Kaiqi Huang, Tieniu Tan, Yinghao Cai