最 低 价：￥466.50
定 价：￥542.40
作 者：FriedhelmSchwenker，SimoneMarinai 著 著
出 版 社：湖北辞书出版社
出版时间：2006-12-1
I S B N：9783540379515
| LNBI is devoted to the publication of state-of-the-art research results in bio-informatics and computational biology, at a high level and in both printed and electronic versions - making use of the well-established LNCS publication machinery. As with the LNCS mother series, refereed proceedings and post- proceedings are at the core of LNBI, however, similar to the color cover sub- lines in LNCS, tutorials and state-of-the-art surveys are also invited for LNBI. Among the topics covered are： Genomics；Molecular sequence analysis；Recognition of genes and regulatory elements；Molecular evolution；Protein structure；Gene expression；Gene networks；Combinatorial libraries and drug design；Computational proteomics. |
| Unsupervised Learning Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition Adaptive Feedback Inhibition Improves Pattern Discrimination Learning Semi-supervised Learning Supervised Batch Neural Gas Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes On the Effects of Constraints in Semi-supervised Hierarchical Clustering A Study of the Robustness of KNN Classifiers Trained Using Soft Labels Supervised Learning An Experimental Study on Training Radial Basis Functions by Gradient Descent A Local Tangent Space Alignment Based Transductive Classification Algorithm Incremental Manifold Learning Via Tangent Space Alignment A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural Networks Support Vector Learning Support Vector Regression Using Mahalanobis Kernels Incremental Training of Support Vector Machines Using Truncated Hypercones Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques Multiple Classifier Systems Multiple Classifier Systems for Embedded String Patterns Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face Images Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization Visual Object Recognition Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks …… Data Mining in Bioinformatics Author Index |
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