Sciweavers

1216 search results - page 57 / 244
» Predicting relative performance of classifiers from samples
Sort
View
IOR
2006
163views more  IOR 2006»
13 years 7 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
IADIS
2003
13 years 9 months ago
Application of Metadata and Replication Mechanisms in Industrial Databases
Power transformers' failures carry great costs to electric companies since they need resources to recover from them and to perform periodical maintenance. To avoid this probl...
Perfecto Mariño, César A. Sigüe...
RTAS
2002
IEEE
14 years 18 days ago
Feedback Scheduling of Model Predictive Controllers
The paper presents some preliminary results on dynamic scheduling of model predictive controllers (MPCs). In an MPC, the control signal is obtained by on-line optimization of a co...
Dan Henriksson, Anton Cervin, Johan Åkesson,...
IJCAI
2007
13 years 9 months ago
Utile Distinctions for Relational Reinforcement Learning
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
William Dabney, Amy McGovern
COLT
2008
Springer
13 years 9 months ago
Relating Clustering Stability to Properties of Cluster Boundaries
In this paper, we investigate stability-based methods for cluster model selection, in particular to select the number K of clusters. The scenario under consideration is that clust...
Shai Ben-David, Ulrike von Luxburg