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Home > Artificial Neural Networks and Machine Learning -- ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II > Text Mining for Wellbeing: Selecting Stories Using Semantic and Pragmatic Features
Artificial Neural Networks and Machine Learning -- ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II |
Alessandro Villa; Włodzisław Duch; Péter Érdi; Francesco Masulli; Günther Palm
Springer Berlin Heidelberg
Artificial Neural Networks and Machine Learning -- ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II
Text Mining for Wellbeing: Selecting Stories Using Semantic and Pragmatic Features
Authors

Timo Honkela; Zaur Izzatdust; Krista Lagus

ARI Id

1664955960630_4223758

Access

Not Available Free

Pages

467-474

DOI

10.1007/978-3-642-33266-1_58

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-642-33266-1_58

Table of Contents of Book
Showing 1 to 20 of 74 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Complex-Valued Multilayer Perceptron Search Utilizing Eigen Vector Descent and Reducibility Mapping
Shinya Suzumura; Ryohei Nakano
1-8
Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning
Kazuyuki Hara; Kentaro Katahira; Kazuo Okanoya; Masato Okada
9-16
Some Comparisons of Networks with Radial and Kernel Units
Věra Kůrková
17-24
Multilayer Perceptron for Label Ranking
Geraldina Ribeiro; Wouter Duivesteijn; Carlos Soares; Arno Knobbe
25-32
Electricity Load Forecasting: A Weekday-Based Approach
Irena Koprinska; Mashud Rana; Vassilios G. Agelidis
33-41
Adaptive Exploration Using Stochastic Neurons
Michel Tokic; Günther Palm
42-49
Comparison of Long-Term Adaptivity for Neural Networks
Frank-Florian Steege; Horst-Michael Groß
50-57
Simplifying ConvNets for Fast Learning
Franck Mamalet; Christophe Garcia
58-65
A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines
João Fausto Lorenzato de Oliveira; Teresa B. Ludermir
66-73
Retracted: Robust Training of Feedforward Neural Networks Using Combined Online/Batch Quasi-Newton Techniques
Hiroshi Ninomiya
74-83
Estimating a Causal Order among Groups of Variables in Linear Models
Doris Entner; Patrik O. Hoyer
84-91
Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization
Philemon Brakel; Sander Dieleman; Benjamin Schrauwen
92-99
A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks
Luiz C. B. Torres; Cristiano L. Castro; Antônio P. Braga
100-107
Learning Parameters of Linear Models in Compressed Parameter Space
Yohannes Kassahun; Hendrik Wöhrle; Alexander Fabisch; Marc Tabie
108-115
Control of a Free-Falling Cat by Policy-Based Reinforcement Learning
Daichi Nakano; Shin-ichi Maeda; Shin Ishii
116-123
Gated Boltzmann Machine in Texture Modeling
Tele Hao; Tapani Raiko; Alexander Ilin; Juha Karhunen
124-131
Neural PCA and Maximum Likelihood Hebbian Learning on the GPU
Pavel Krömer; Emilio Corchado; Václav Snášel; Jan Platoš; Laura García-Hernández
132-139
Construction of Emerging Markets Exchange Traded Funds Using Multiobjective Particle Swarm Optimisation
Marta Díez-Fernández; Sergio Alvarez Teleña; Denise Gorse
140-147
The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study
André R. Gonçalves; Rosana Veroneze; Salomão Madeiro; Carlos R. B. Azevedo; Fernando J. Von Zuben
148-155
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 74 entries
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