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USS
2008
15 years 10 months ago
FLAME: A Flow-Level Anomaly Modeling Engine
There are several remaining open questions in the area of flow-based anomaly detection, e.g., how to do meaningful evaluations of anomaly detection mechanisms; how to get conclusi...
Daniela Brauckhoff, Arno Wagner, Martin May
232
Voted
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
15 years 9 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
233
Voted
AAAI
2010
15 years 9 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
FMOODS
2007
15 years 9 months ago
Formal Modeling and Analysis of the OGDC Wireless Sensor Network Algorithm in Real-Time Maude
This paper describes the application of Real-Time Maude to the formal specification, simulation, and further formal analysis of the sophisticated state-of-the-art OGDC wireless se...
Peter Csaba Ölveczky, Stian Thorvaldsen
NIPS
1998
15 years 9 months ago
Bayesian Modeling of Facial Similarity
In previous work 6, 9, 10], we advanced a new technique for direct visual matching of images for the purposes of face recognition and image retrieval, using a probabilistic measur...
Baback Moghaddam, Tony Jebara, Alex Pentland