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2007
176views Robotics» more  RSS 2007»
14 years 11 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
WSC
2004
14 years 11 months ago
Automation of Human Decision Processes for Route Completion for Airspace Design Analysis
This paper describes an algorithm for approximating missing data in air traffic routes thereby allowing the lengths of different routes to be compared for our simulation analyses....
Lisa A. Schaefer
BMCBI
2008
96views more  BMCBI 2008»
14 years 9 months ago
Use of normalization methods for analysis of microarrays containing a high degree of gene effects
Background: High-throughput microarrays are widely used to study gene expression across tissues and developmental stages. Analysis of gene expression data is challenging in these ...
Terri T. Ni, William J. Lemon, Yu Shyr, Tao P. Zho...
COR
2010
121views more  COR 2010»
14 years 9 months ago
A multi-objective approach for robust airline scheduling
We present a memetic approach for multi-objective improvement of robustness influencing features (called robustness objectives) in airline schedules. Improvement of the objectives...
Edmund K. Burke, Patrick De Causmaecker, Geert De ...
CPM
1999
Springer
92views Combinatorics» more  CPM 1999»
15 years 2 months ago
Physical Mapping with Repeated Probes: The Hypergraph Superstring Problem
We focus on the combinatorial analysis of physical mapping with repeated probes. We present computational complexity results, and we describe and analyze an algorithmic strategy. W...
Serafim Batzoglou, Sorin Istrail