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ICML
2007
IEEE
16 years 7 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
TAMODIA
2008
15 years 8 months ago
A Fluid Flow Approach to Usability Analysis of Multi-user Systems
Abstract. The analysis of usability aspects of multi-user systems, such as cooperative work systems and pervasive systems, pose particular problems because group behavior of their ...
Mieke Massink, Diego Latella, Maurice H. ter Beek,...
MODELS
2010
Springer
15 years 4 months ago
Embedded Software Development with Projectional Language Workbenches
This paper describes a novel approach to embedded software development. Instead of using a combination of C code and modeling tools, we propose an approach where modeling and progr...
Markus Voelter
ICALP
2009
Springer
16 years 6 months ago
External Sampling
We initiate the study of sublinear-time algorithms in the external memory model [14]. In this model, the data is stored in blocks of a certain size B, and the algorithm is charged...
Alexandr Andoni, Piotr Indyk, Krzysztof Onak, Roni...
CORR
2010
Springer
173views Education» more  CORR 2010»
15 years 3 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat