Sciweavers

295 search results - page 41 / 59
» Statistical Methods for Construction of Neural Networks
Sort
View
JMLR
2012
11 years 11 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
ICRA
2008
IEEE
114views Robotics» more  ICRA 2008»
14 years 3 months ago
Object dynamics prediction and motion generation based on reliable predictability
— Consistency of object dynamics, which is related to reliable predictability, is an important factor for generating object manipulation motions. This paper proposes a technique ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...
IWANN
2007
Springer
14 years 2 months ago
A Novel 2-D Model Approach for the Prediction of Hourly Solar Radiation
In this work, a two-dimensional (2-D) representation of the hourly solar radiation data is proposed. The model enables accurate forecasting using image prediction methods. One year...
Fatih Onur Hocaoglu, Ömer Nezih Gerek, Mehmet...
BIB
2007
137views more  BIB 2007»
13 years 8 months ago
Current progress in network research: toward reference networks for key model organisms
The collection of multiple genome-scale datasets is now routine, and the frontier of research in systems biology has shifted accordingly. Rather than clustering a single dataset t...
Balaji S. Srinivasan, Nigam H. Shah, Jason Flannic...
EMNLP
2006
13 years 10 months ago
Loss Minimization in Parse Reranking
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
Ivan Titov, James Henderson