Sciweavers

NIPS
2008
13 years 10 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
NIPS
2008
13 years 10 months ago
Online Optimization in X-Armed Bandits
Sébastien Bubeck, Rémi Munos, Gilles...
NIPS
2008
13 years 10 months ago
Mortal Multi-Armed Bandits
We formulate and study a new variant of the k-armed bandit problem, motivated by e-commerce applications. In our model, arms have (stochastic) lifetime after which they expire. In...
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski,...
IQ
2007
13 years 10 months ago
In Search Of An Accuracy Metric
Practitioners and researchers often refer to error rates or accuracy percentages of databases. The former is the number of cells in error divided by the total number of cells; the...
Craig W. Fisher, Eitel J. M. Lauría, Caroly...
NIPS
2008
13 years 10 months ago
Local Gaussian Process Regression for Real Time Online Model Learning
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
NIPS
2008
13 years 10 months ago
Scalable Algorithms for String Kernels with Inexact Matching
We present a new family of linear time algorithms based on sufficient statistics for string comparison with mismatches under the string kernels framework. Our algorithms improve t...
Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic
IQ
2007
13 years 10 months ago
A Model for Information Quality in the Banking Industry - The Case of the Public Banks In Brazil
: Poor Information Quality (IQ) has a significant impact on the general performance of an organization. Investments in IT have had a great impact on the banking industry in recent ...
Luís Francisco Ramos Lima, Antonio Carlos G...
NIPS
2008
13 years 10 months ago
The Recurrent Temporal Restricted Boltzmann Machine
The Temporal Restricted Boltzmann Machine (TRBM) is a probabilistic model for sequences that is able to successfully model (i.e., generate nice-looking samples of) several very hi...
Ilya Sutskever, Geoffrey E. Hinton, Graham W. Tayl...
IQ
2007
13 years 10 months ago
Where are we now? Where are we going?
John R. Talburt, Elizabeth M. Pierce, Craig Fisher...
NIPS
2008
13 years 10 months ago
Kernel Change-point Analysis
We introduce a kernel-based method for change-point analysis within a sequence of temporal observations. Change-point analysis of an unlabelled sample of observations consists in,...
Zaïd Harchaoui, Francis Bach, Eric Moulines