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PKDD
2010
Springer
122views Data Mining» more  PKDD 2010»
15 years 2 months ago
Exploration in Relational Worlds
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
Tobias Lang, Marc Toussaint, Kristian Kersting
PPSN
2010
Springer
15 years 2 months ago
Optimisation and Generalisation: Footprints in Instance Space
Abstract. The chief purpose of research in optimisation is to understand how to design (or choose) the most suitable algorithm for a given distribution of problem instances. Ideall...
David W. Corne, Alan P. Reynolds
TCS
2010
15 years 2 months ago
Active learning in heteroscedastic noise
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
András Antos, Varun Grover, Csaba Szepesv&a...
RAID
2010
Springer
15 years 2 months ago
CANVuS: Context-Aware Network Vulnerability Scanning
Enterprise networks face a variety of threats including worms, viruses, and DDoS attacks. Development of effective defenses against these threats requires accurate inventories of n...
Yunjing Xu, Michael Bailey, Eric Vander Weele, Far...
AAIM
2009
Springer
143views Algorithms» more  AAIM 2009»
15 years 2 months ago
Discrete online TSP
In this paper we introduce a discrete version of the online traveling salesman problem (DOLTSP). We represent the metric space using a weighted graph, where the server is allowed t...
Mauro Aprea, Esteban Feuerstein, Gustavo Sadovoy, ...