[Lecture Notes in Computer Science] Pattern Recognition Volume 6718 || Neural Networks to Guide the Selection of Heuristics within Constraint Satisfaction Problems

[Lecture Notes in Computer Science] Arti

[Lecture Notes in Computer Science] Artificial Neural Networks in Pattern Recognition Volume 4087 || On the Effects of Constraints in Semi-supervised Hierarchical Clustering

✍ Schwenker, Friedhelm; Marinai, Simone 📂 Article 📅 2006 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 191 KB

This book constitutes the refereed proceedings of the Second IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2006, held in Ulm, Germany in August/September 2006. The 26 revised papers presented were carefully reviewed and selected from 49 submissions. The papers are organiz

[Lecture Notes in Computer Science] Mana

[Lecture Notes in Computer Science] Managing Knowledge in a World of Networks Volume 4248 || Assisting Domain Experts to Formulate and Solve Constraint Satisfaction Problems

✍ Staab, Steffen; Svátek, Vojtěch 📂 Article 📅 2006 🏛 Springer Berlin Heidelberg ⚖ 330 KB

[Lecture Notes in Computer Science] Neur

[Lecture Notes in Computer Science] Neural Networks: Tricks of the Trade Volume 7700 || Applying Divide and Conquer to Large Scale Pattern Recognition Tasks

✍ Montavon, Grégoire; Orr, Geneviève B.; Müller, Klaus-Robert 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 739 KB

The twenty last years have been marked by an increase in available data and computing power. In parallel to this trend, the focus of neural network research and the practice of training neural networks has undergone a number of important changes, for example, use of deep learning machines. The secon

[Lecture Notes in Computer Science] Neur

[Lecture Notes in Computer Science] Neural Networks: Tricks of the Trade Volume 7700 || A Practical Guide to Training Restricted Boltzmann Machines

✍ Montavon, Grégoire; Orr, Geneviève B.; Müller, Klaus-Robert 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 594 KB

The twenty last years have been marked by an increase in available data and computing power. In parallel to this trend, the focus of neural network research and the practice of training neural networks has undergone a number of important changes, for example, use of deep learning machines. The secon

[Lecture Notes in Computer Science] Prog

[Lecture Notes in Computer Science] Progress in Pattern Recognition, Image Analysis and Applications Volume 5197 || An Empirical Study for the Multi-class Imbalance Problem with Neural Networks

✍ Ruiz-Shulcloper, José; Kropatsch, Walter G. 📂 Article 📅 2008 🏛 Springer Berlin Heidelberg ⚖ 308 KB

[Lecture Notes in Computer Science] Adva

[Lecture Notes in Computer Science] Advances in Computational Intelligence Volume 7630 || Neural Network with Type-2 Fuzzy Weights Adjustment for Pattern Recognition of the Human Iris Biometrics

✍ Batyrshin, Ildar; Mendoza, Miguel González 📂 Article 📅 2013 🏛 Springer Berlin Heidelberg ⚖ 496 KB