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NIPS
2004
13 years 8 months ago
Online Bounds for Bayesian Algorithms
We present a competitive analysis of Bayesian learning algorithms in the online learning setting and show that many simple Bayesian algorithms (such as Gaussian linear regression ...
Sham M. Kakade, Andrew Y. Ng
GLOBECOM
2009
IEEE
13 years 5 months ago
Optimizing Training-Based Transmission for Correlated MIMO Systems with Hybrid Feedback
Abstract--In this paper, we consider multiple-input multipleoutput (MIMO) communication systems with combined channel covariance feedback (CCF) and channel gain feedback (CGF), her...
Xiangyun Zhou, Tharaka A. Lamahewa, Parastoo Sadeg...
ANOR
2005
120views more  ANOR 2005»
13 years 7 months ago
Solving the Vehicle Routing Problem with Stochastic Demands using the Cross-Entropy Method
An alternate formulation of the classical vehicle routing problem with stochastic demands (VRPSD) is considered. We propose a new heuristic method to solve the problem. The algori...
Krishna Chepuri, Tito Homem-de-Mello
GI
2009
Springer
13 years 5 months ago
Combined Optimization of Aircraft Maneuvers and RF Measurements for Passive Air-Air Ranging
: When a tactical aircraft sets out on a mission in dense airborne and surface RF (radio frequency) emitter environment, the pilot desires to minimize the use of the onboard fire c...
Ronald Matthew Yannone, Melvin Carroll
ICCV
2005
IEEE
14 years 29 days ago
Learning Models for Predicting Recognition Performance
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
Rong Wang, Bir Bhanu