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CORR
2008
Springer
64views Education» more  CORR 2008»
13 years 9 months ago
Linearly Parameterized Bandits
We consider bandit problems involving a large (possibly infinite) collection of arms, in which the expected reward of each arm is a linear function of an r-dimensional random vect...
Paat Rusmevichientong, John N. Tsitsiklis
MANSCI
2007
100views more  MANSCI 2007»
13 years 9 months ago
Dynamic Assortment with Demand Learning for Seasonal Consumer Goods
Companies such as Zara and World Co. have recently implemented novel product development processes and supply chain architectures enabling them to make more product design and ass...
Felipe Caro, Jérémie Gallien
TSMC
2002
93views more  TSMC 2002»
13 years 8 months ago
Statistical analysis of the main parameters involved in the design of a genetic algorithm
Abstract--Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover,...
Ignacio Rojas, Jesús González, H&eac...
RAS
2010
117views more  RAS 2010»
13 years 7 months ago
Extending BDI plan selection to incorporate learning from experience
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. We describe a novel BDI exe...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
TVCG
2010
142views more  TVCG 2010»
13 years 7 months ago
Illustrative Volume Visualization Using GPU-Based Particle Systems
—Illustrative techniques are generally applied to produce stylized renderings. Various illustrative styles have been applied to volumetric data sets, producing clearer images and...
Roy van Pelt, Anna Vilanova, Huub van de Wetering