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NIPS
2001
15 years 8 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
IC
2003
15 years 8 months ago
Sampling Internet Topologies: How Small Can We Go?
Abstract— In this paper, we develop methods to “sample” a large real network into a small realistic graph. Although topology modeling has received a lot attention lately, it ...
Vaishnavi Krishnamurthy, Junhong Sun, Michalis Fal...
PST
2004
15 years 8 months ago
A novel visualization technique for network anomaly detection
Visualized information is a technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human us...
Iosif-Viorel Onut, Bin Zhu, Ali A. Ghorbani
ICWS
2003
IEEE
15 years 8 months ago
Semantic Web Enabled Web Services: State-of-Art and Industrial Challenges
Semantic Web technology has a vision to define and link Web data in a way that it can be understood and used by machines for automation, integration and reuse of data across variou...
Vagan Y. Terziyan, Oleksandr Kononenko
UAI
2001
15 years 8 months ago
When do Numbers Really Matter?
Common wisdom has it that small distinctions in the probabilities quantifying a belief network do not matter much for the results of probabilistic queries. Yet, one can develop re...
Hei Chan, Adnan Darwiche