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» Bias and Variance Approximation in Value Function Estimates
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ICML
2005
IEEE
14 years 9 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky
IPPS
2008
IEEE
14 years 3 months ago
Optimal spot-checking to minimize the computation time in volunteer computing
This paper proposes an optimization technique for spotchecking to minimize the computation time of volunteer computing (VC) systems with malicious participants who return erroneou...
Kan Watanabe, Masaru Fukushi, Susumu Horiguchi
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
13 years 7 months ago
Probabilistic target detection by camera-equipped UAVs
— This paper is motivated by the real world problem of search and rescue by unmanned aerial vehicles (UAVs). We consider the problem of tracking a static target from a bird’sey...
Andrew Colquhoun Symington, Sonia Waharte, Simon J...
SIAMAM
2000
128views more  SIAMAM 2000»
13 years 8 months ago
Advection-Diffusion Equations for Internal State-Mediated Random Walks
Abstract. In many biological examples of biased random walks, movement statistics are determined by state dynamics that are internal to the organism or cell and that mediate respon...
Daniel Grünbaum
SIAMJO
2010
155views more  SIAMJO 2010»
13 years 3 months ago
Optimal Portfolio Execution Strategies and Sensitivity to Price Impact Parameters
When liquidating a portfolio of large blocks of risky assets, an institutional investor wants to minimize the cost as well as the risk of execution. An optimal execution strategy ...
Somayeh Moazeni, Thomas F. Coleman, Yuying Li