Treffer: Genomic protein functionality classification algorithms in frequency domain.

Title:
Genomic protein functionality classification algorithms in frequency domain.
Contributors:
Lau, Tak-Chung., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering.
Publication Year:
2004
Collection:
The Chinese University of Hong Kong: CUHK Digital Repository / 香港中文大學數碼典藏
Document Type:
Fachzeitschrift text
File Description:
print; xvi, 202 leaves : ill.; 30 cm.
Language:
English
Chinese
Rights:
Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Accession Number:
edsbas.8E5D1CFE
Database:
BASE

Weitere Informationen

Tak-Chung Lau. ; Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. ; Includes bibliographical references (leaves 190-198). ; Abstracts in English and Chinese. ; Abstract --- p.i ; Acknowledgement --- p.iv ; Chapter 1 --- Introduction --- p.1 ; Chapter 1.1 --- Background Information --- p.4 ; Chapter 1.2 --- Importance of the Problem --- p.6 ; Chapter 1.3 --- Problem Definition and Proposed Algorithm Outline --- p.7 ; Chapter 1.4 --- Simple Illustration --- p.10 ; Chapter 1.5 --- Outline of the Thesis --- p.12 ; Chapter 2 --- Survey --- p.14 ; Chapter 2.1 --- Introduction --- p.14 ; Chapter 2.2 --- Dynamic Programming (DP) --- p.15 ; Chapter 2.2.1 --- Introduction --- p.15 ; Chapter 2.2.2 --- Algorithm --- p.15 ; Chapter 2.2.3 --- Example --- p.16 ; Chapter 2.2.4 --- Complexity Analysis --- p.20 ; Chapter 2.2.5 --- Summary --- p.21 ; Chapter 2.3 --- General Alignment Tools --- p.21 ; Chapter 2.4 --- K-Nearest Neighbor (KNN) --- p.22 ; Chapter 2.4.1 --- Value of K --- p.22 ; Chapter 2.4.2 --- Example --- p.23 ; Chapter 2.4.3 --- Variations in KNN --- p.24 ; Chapter 2.4.4 --- Summary --- p.24 ; Chapter 2.5 --- Decision Tree --- p.25 ; Chapter 2.5.1 --- General Information of Decision Tree --- p.25 ; Chapter 2.5.2 --- Classification in Decision Tree --- p.26 ; Chapter 2.5.3 --- Disadvantages in Decision Tree --- p.27 ; Chapter 2.5.4 --- Comparison on Different Types of Trees --- p.28 ; Chapter 2.5.5 --- Conclusion --- p.29 ; Chapter 2.6 --- Hidden Markov Model (HMM) --- p.29 ; Chapter 2.6.1 --- Markov Process --- p.29 ; Chapter 2.6.2 --- Hidden Markov Model --- p.31 ; Chapter 2.6.3 --- General Framework in HMM --- p.32 ; Chapter 2.6.4 --- Example --- p.34 ; Chapter 2.6.5 --- Drawbacks in HMM --- p.35 ; Chapter 2.7 --- Chapter Summary --- p.36 ; Chapter 3 --- Related Work --- p.37 ; Chapter 3.1 --- Resonant Recognition Model (RRM) --- p.37 ; Chapter 3.1.1 --- Introduction --- p.37 ; Chapter 3.1.2 --- Encoding Stage --- p.39 ; Chapter 3.1.3 --- Transformation Stage --- p.41 ; Chapter 3.1.4 --- Evaluation Stage ...