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ICML
2010
IEEE
15 years 5 months ago
COFFIN: A Computational Framework for Linear SVMs
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
Sören Sonnenburg, Vojtech Franc
IJAR
2008
155views more  IJAR 2008»
15 years 4 months ago
Estimation of causal effects using linear non-Gaussian causal models with hidden variables
The task of estimating causal effects from non-experimental data is notoriously difficult and unreliable. Nevertheless, precisely such estimates are commonly required in many fiel...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen...
JMLR
2008
209views more  JMLR 2008»
15 years 4 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
ICWE
2007
Springer
15 years 10 months ago
Model-Driven Generation of Web Applications in UWE
Model-driven engineering (MDE) techniques address rapid changes anguages and platforms by lifting the abstraction level from code to models. On the one hand models are transformed ...
Andreas Kraus, Alexander Knapp, Nora Koch
ADAEUROPE
2004
Springer
15 years 9 months ago
Vector Processing in Ada
Abstract. To handle signal processing algorithms such as the Fast Fourrier Transform (FFT) or the Discrete Cosine Transform (DCT) system designers have traditionally resorted to sp...
Franco Gasperoni