Sciweavers

1769 search results - page 50 / 354
» Prediction on Spike Data Using Kernel Algorithms
Sort
View
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 2 days ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
84
Voted
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
15 years 4 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
NIPS
2008
14 years 11 months ago
Theory of matching pursuit
We analyse matching pursuit for kernel principal components analysis (KPCA) by proving that the sparse subspace it produces is a sample compression scheme. We show that this bound...
Zakria Hussain, John Shawe-Taylor
CIDM
2007
IEEE
15 years 4 months ago
Structure Prediction in Temporal Networks using Frequent Subgraphs
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...
Mayank Lahiri, Tanya Y. Berger-Wolf
ICML
2010
IEEE
14 years 10 months ago
Supervised Aggregation of Classifiers using Artificial Prediction Markets
Prediction markets are used in real life to predict outcomes of interest such as presidential elections. In this work we introduce a mathematical theory for Artificial Prediction ...
Nathan Lay, Adrian Barbu