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BIOCOMP
2010
13 years 5 months ago
A Model Reduction Technique for Stochastic Biochemical Kinetics
Abstract-- Modeling the intermolecular reactions in a single cell is a critical problem in computational biology. Biochemical reaction systems often involve species in both low and...
Silvana Ilie, Ekaterina Kudashkina
COLT
1991
Springer
13 years 11 months ago
On the Complexity of Teaching
While most theoretical work in machine learning has focused on the complexity of learning, recently there has been increasing interest in formally studying the complexity of teach...
Sally A. Goldman, Michael J. Kearns
AI
2006
Springer
13 years 11 months ago
An Efficient Resource Allocation Approach in Real-Time Stochastic Environment
We are interested in contributing to solving effectively a particular type of real-time stochastic resource allocation problem. Firstly, one distinction is that certain tasks may c...
Pierrick Plamondon, Brahim Chaib-draa, Abder Rezak...
CIAC
2010
Springer
259views Algorithms» more  CIAC 2010»
13 years 11 months ago
On Strategy Improvement Algorithms for Simple Stochastic Games
The study of simple stochastic games (SSGs) was initiated by Condon for analyzing the computational power of randomized space-bounded alternating Turing machines. The game is play...
Rahul Tripathi, Elena Valkanova, V. S. Anil Kumar
ICML
2000
IEEE
14 years 8 months ago
Classification of Individuals with Complex Structure
This paper introduces a foundation for inductive learning based on the use of higher-order logic for knowledge representation. In particular, the paper (i) provides a systematic i...
Antony F. Bowers, Christophe G. Giraud-Carrier, Jo...