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NIPS
2008
13 years 9 months ago
Linear Classification and Selective Sampling Under Low Noise Conditions
We provide a new analysis of an efficient margin-based algorithm for selective sampling in classification problems. Using the so-called Tsybakov low noise condition to parametrize...
Giovanni Cavallanti, Nicolò Cesa-Bianchi, C...
MSS
2010
IEEE
120views Hardware» more  MSS 2010»
13 years 6 months ago
A critique of distributional analysis in the spatial model
Distributional analysis is widely used to study social choice in Euclidean models [35, 36, 1, 5, 11, 19, 8, 2, e.g]. This method assumes a continuum of voters distributed accordin...
Craig A. Tovey
ICC
2007
IEEE
120views Communications» more  ICC 2007»
14 years 1 months ago
On the Tails of the Distribution of the Sum of Lognormals
—Finding the distribution of the sum of lognormal We assume in this paper that the terms Yi are independent. The random variables is an important mathematical problem in probabil...
Sebastien S. Szyszkowicz, Halim Yanikomeroglu
CORR
2008
Springer
179views Education» more  CORR 2008»
13 years 7 months ago
Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication
The paper studies the problem of distributed static parameter (vector) estimation in sensor networks with nonlinear observation models and imperfect inter-sensor communication. We...
Soummya Kar, José M. F. Moura, Kavita Raman...
CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 7 months ago
Incremental Sampling-based Algorithms for Optimal Motion Planning
During the last decade, incremental sampling-based motion planning algorithms, such as the Rapidly-exploring Random Trees (RRTs), have been shown to work well in practice and to po...
Sertac Karaman, Emilio Frazzoli