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TSP
2008
113views more  TSP 2008»
15 years 4 months ago
Covariance Matrix Estimation With Heterogeneous Samples
We consider the problem of estimating the covariance matrix of an observation vector, using heterogeneous training samples, i.e., samples whose covariance matrices are not exactly ...
Olivier Besson, Stéphanie Bidon, Jean-Yves ...
JITECH
2010
106views more  JITECH 2010»
15 years 3 months ago
Patterns and structures of intra-organizational learning networks within a knowledge-intensive organization
This paper employs the network perspective to study patterns and structures of intraorganizational learning networks. The theoretical background draws from cognitive theories, the...
Miha Skerlavaj, Vlado Dimovski, Kevin C. Desouza
JMLR
2010
135views more  JMLR 2010»
15 years 3 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
141
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TON
2010
83views more  TON 2010»
15 years 2 months ago
Understanding and modeling the internet topology: economics and evolution perspective
Abstract—In this paper, we seek to understand the intrinsic reasons for the well-known phenomenon of heavy-tailed degree in the Internet AS graph and argue that in contrast to tr...
Xiaoming Wang, Dmitri Loguinov
122
Voted
TIT
2010
82views Education» more  TIT 2010»
14 years 11 months ago
Average message delivery time for small-world networks in the continuum limit
Small-world networks are networks in which the graphical diameter of the network is as small as the diameter of random graphs but whose nodes are highly clustered when compared wit...
Hazer Inaltekin, Mung Chiang, H. Vincent Poor