Knowledge-Based Intelligent Information and Engineering Systems

Intelligent Processing

1. Learning from Uncertain Data

   1. Fuzzy-Input Fuzzy-Output One-Against-All Support Vector Machines

      • Christian Thiel, Stefan Scherer, Friedhelm Schwenker

      Pages 156-165

   2. Learning Bayesian Networks Using Evolutionary Algorithm and a Variant of MDL Score

      • Fengzhan Tian, Yanfeng Zhang, Zhihai Wang, Houkuang Huang

      Pages 166-173

   3. Reliable Learning: A Theoretical Framework

      • Marco Muselli, Francesca Ruffino

      Pages 174-183

   4. SVM with Random Labels

      • Bruno Apolloni, Simone Bassis, Dario Malchiodi

      Pages 184-193

2. Neural Information Processing for Data Mining

   1. A Neural-Based Approach to Facial Expression Mapping Between Human and Robot

      • Minori Gotoh, Masayoshi Kanoh, Shohei Kato, Hidenori Itoh

      Pages 194-201

   2. Interpretable Likelihood for Vector Representable Topic

      • Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, Masayuki Numao

      Pages 202-209

   3. Learning Evaluation Functions of Shogi Positions from Different Sets of Games

      • Kosuke Inagaki, Ryohei Nakano

      Pages 210-217

   4. Nominally Piecewise Multiple Regression Using a Four-Layer Perceptron

      • Yusuke Tanahashi, Daisuke Kitakoshi, Ryohei Nakano

      Pages 218-226

   5. Pivot Learning for Efficient Similarity Search

      • Manabu Kimura, Kazumi Saito, Naonori Ueda

      Pages 227-234

   6. Prediction of Link Attachments by Estimating Probabilities of Information Propagation

      • Kazumi Saito, Ryohei Nakano, Masahiro Kimura

      Pages 235-242

3. Neural Networks: Advanced Applications

   1. A Kernel Based Learning by Sample Technique for Defect Identification Through the Inversion of a Typical Electric Problem

      • Matteo Cacciola, Maurizio Campolo, Fabio La Foresta, Francesco Carlo Morabito, Mario Versaci

      Pages 243-250

   2. Adaptive Neural Network Approach for Nonlinearity Compensation in Laser Interferometer

      • Gunhaeng Heo, Wooram Lee, Seungok Choi, Jeehyong Lee, Kwanho You

      Pages 251-258

   3. An Application of Machine Learning Methods to PM10 Level Medium-Term Prediction

      • Giovanni Raimondo, Alfonso Montuori, Walter Moniaci, Eros Pasero, Esben Almkvist

      Pages 259-266

   4. Handwritten Greek Character Recognition with Learning Vector Quantization

      • Francesco Camastra

      Pages 267-274

   5. Models for Identifying Structures in the Data: A Performance Comparison

      • Anna Esposito, Antonietta M. Esposito, Flora Giudicepietro, Maria Marinaro, Silvia Scarpetta

      Pages 275-283

   6. Neural Network Prediction of the Roll Motion of a Ship for Intelligent Course Control

      • Viorel Nicolau, Vasile Palade, Dorel Aiordachioaie, Constantin Miholca

      Pages 284-291

   7. Real Time Reader Device for Blind People

      • Paolo Motto Ros, Eros Pasero

      Pages 292-299

   8. SVM-Based Time Series Prediction with Nonlinear Dynamics Methods

      • Francesco Camastra, Maurizio Filippone

      Pages 300-307

4. Soft Computing Approach to Management Engineering

   1. A Bio-soft Computing Approach to Re-arrange a Flexible Manufacturing Robot

      • Rohani Binti Abu Bakar, Junzo Watada

      Pages 308-315

   2. A Fuzzy Measure Identification Method by Diamond Pairwise Comparisons: AHP Scales and Grabish’s Graphical Interpretation

      • Eiichiro Takahagi

      Pages 316-324