Sciweavers

1427 search results - page 95 / 286
» Kernels for Semi-Structured Data
Sort
View
CVPR
2009
IEEE
15 years 5 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
ICML
2006
IEEE
14 years 11 months ago
Deterministic annealing for semi-supervised kernel machines
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chape...
USENIX
2003
13 years 11 months ago
Using Read-Copy-Update Techniques for System V IPC in the Linux 2.5 Kernel
Read-copy update (RCU) allows lock-free read-only access to data structures that are concurrently modified on SMP systems. Despite the concurrent modifications, read-only access...
Andrea Arcangeli, Mingming Cao, Paul E. McKenney, ...
JMLR
2002
106views more  JMLR 2002»
13 years 9 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
PRL
2008
161views more  PRL 2008»
13 years 9 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar