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109
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INFORMATICALT
1998
89views more  INFORMATICALT 1998»
15 years 2 months ago
Simply Invertible Matrices and Fast Prediction
Abstract. We study invertibility of big n × n matrices. There exists a number of algorithms, especially in mathematical statistics and numerical mathematics, requiring to invert s...
Valdas Diciunas
JAIR
1998
198views more  JAIR 1998»
15 years 2 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
120
Voted
NECO
2007
115views more  NECO 2007»
15 years 2 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
124
Voted
ICANN
2010
Springer
15 years 1 months ago
Autonomous Generation of Internal Representations for Associative Learning
In this contribution, we explore the possibilities of learning in large-scale, multimodal processing systems operating under real-world conditions. Using an instance of a large-sca...
Michaël Garcia Ortiz, Benjamin Dittes, Jannik...
ACL
2010
15 years 17 days ago
Cross-Language Document Summarization Based on Machine Translation Quality Prediction
Cross-language document summarization is a task of producing a summary in one language for a document set in a different language. Existing methods simply use machine translation ...
Xiaojun Wan, Huiying Li, Jianguo Xiao