CORR
2012
Springer
12 years 7 months ago
2012
Springer
We consider the problem of recovering items matching a partially specified pattern in multidimensional trees (quad trees and k-d trees). We assume the classical model where the d...
CORR
2012
Springer
12 years 7 months ago
2012
Springer
In many information networks, data items – such as updates in social networks, news flowing through interconnected RSS feeds and blogs, measurements in sensor networks, route u...
CORR
2012
Springer
12 years 7 months ago
2012
Springer
This paper presents a query evaluation technique for positive relational algebra queries with aggregates on a representation system for probabilistic data based on the algebraic s...
CORR
2012
Springer
12 years 7 months ago
2012
Springer
The problem of searching a polygonal region for an unpredictably moving intruder by a set of stationary guards, each carrying an orientable laser, is known as the Searchlight Sche...
CORR
2012
Springer
12 years 7 months ago
2012
Springer
d Abstract) James Allen Fill1† 1 Department of Applied Mathematics and Statistics, The Johns Hopkins University, 34th and Charles Streets, Baltimore, MD 21218-2682 USA received 2...
CORR
2012
Springer
12 years 7 months ago
2012
Springer
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
CORR
2012
Springer
12 years 7 months ago
2012
Springer
CORR
2012
Springer
12 years 7 months ago
2012
Springer
Traditional economic models typically treat private information, or signals, as generated from some underlying state. Recent work has explicated alternative models, where signals ...
CORR
2012
Springer
12 years 7 months ago
2012
Springer
This paper examines the problem of learning with a finite and possibly large set of p base kernels. It presents a theoretical and empirical analysis of an approach addressing thi...
CORR
2012
Springer
12 years 7 months ago
2012
Springer
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...