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» Approximating Markov Processes by Averaging
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TWC
2008
148views more  TWC 2008»
15 years 6 months ago
ARMA Synthesis of Fading Channels
Computationally scalable and accurate estimation, prediction, and simulation of wireless communication channels is critical to the development of more adaptive transceiver algorith...
Hani Mehrpouyan, Steven D. Blostein
IR
2010
15 years 4 months ago
Gradient descent optimization of smoothed information retrieval metrics
Abstract Most ranking algorithms are based on the optimization of some loss functions, such as the pairwise loss. However, these loss functions are often different from the criter...
Olivier Chapelle, Mingrui Wu
QEST
2008
IEEE
16 years 15 days ago
CaVi -- Simulation and Model Checking for Wireless Sensor Networks
CaVi provides a uniform interface to state-of-the-art simulation methods and formal verification methods for wireless sensor network. Simulation is suitable to examine the behavi...
Athanassios Boulis, Ansgar Fehnker, Matthias Fruth...
SSD
2007
Springer
243views Database» more  SSD 2007»
16 years 6 days ago
Continuous Medoid Queries over Moving Objects
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
Stavros Papadopoulos, Dimitris Sacharidis, Kyriako...
ICML
1999
IEEE
16 years 7 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan