CORR
2008
Springer
14 years 20 days ago
2008
Springer
Abstract. We define a novel, basic, unsupervised learning problem learning the the lowest density homogeneous hyperplane separator of an unknown probability distribution. This task...
CORR
2008
Springer
14 years 20 days ago
2008
Springer
CORR
2008
Springer
14 years 20 days ago
2008
Springer
We consider the problem of estimating the support of a vector Rp based on observations contaminated by noise. A significant body of work has studied behavior of 1-relaxations when...
CORR
2008
Springer
14 years 20 days ago
2008
Springer
We perturb the simple cubic (SC), body-centered cubic (BCC), and face-centered cubic (FCC) structures with a spatial Gaussian noise whose adimensional strength is controlled by th...
CORR
2008
Springer
14 years 20 days ago
2008
Springer
Abstract The Little-Hopfield neural network programmed with Horn clauses is studied. We argue that the energy landscape of the system, corresponding to the inconsistency function f...
CORR
2008
Springer
14 years 20 days ago
2008
Springer
Abstract. The growing popularity of online social networks gave researchers access to large amount of network data and renewed interest in methods for automatic community detection...
CORR
2008
Springer
14 years 20 days ago
2008
Springer
This paper considers an additive noise channel where the time-k noise variance is a weighted sum of the squared magnitudes of the previous channel inputs plus a constant. This chan...
CORR
2008
Springer
14 years 20 days ago
2008
Springer
We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose that we observe m entries selected uniformly at ran...
CORR
2008
Springer
14 years 20 days ago
2008
Springer
An erasure channel with a fixed alphabet size q, where q 1, is studied . It is proved that over any erasure channel (with or without memory), Maximum Distance Separable (MDS) codes...
CORR
2008
Springer
14 years 20 days ago
2008
Springer
Abstract--In this paper, Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, are quantized. Nearest neighbor and c...