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Home > PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2014, Gold Coast, QLD, Australia, December 1-5, 2014, Proceedings > Rotation-Based Learning: A Novel Extension of Opposition-Based Learning
PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2014, Gold Coast, QLD, Australia, December 1-5, 2014, Proceedings |
Duc-Nghia Pham; Seong-Bae Park
Springer International Publishing
PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2014, Gold Coast, QLD, Australia, December 1-5, 2014, Proceedings
Rotation-Based Learning: A Novel Extension of Opposition-Based Learning
Authors

Huichao Liu; Zhijian Wu; Huanzhe Li; Hui Wang; Shahryar Rahnamayan; Changshou Deng

ARI Id

1664844862582_3753849

Access

Not Available Free

Pages

511-522

DOI

10.1007/978-3-319-13560-1_41

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-13560-1_41

Table of Contents of Book
Showing 1 to 20 of 97 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Subpopulation Diversity Based Setting Success Rate of Migration for Distributed Evolutionary Algorithms
Chengjun Li; Zhe Chen; Shuhua Gu; Muqing Li; Hongyuan Shan; Guangdao Hu
1-12
A More Expressive Behavioral Logic for Decision-Theoretic Planning
Charles Gretton
13-25
Detecting Keyphrases in Micro-blogging with Graph Modeling of Information Diffusion
Shuangyong Song; Yao Meng; Jun Sun
26-38
Fast BMU Search in SOMs Using Random Hyperplane Trees
César A. Astudillo; B. John Oommen
39-51
Robust Abrupt Motion Tracking via Adaptive Hamiltonian Monte Carlo Sampling
Fasheng Wang; Xucheng Li; Mingyu Lu; Zhibo Xiao
52-63
Integrating Case-Based Reasoning with Reinforcement Learning for Real-Time Strategy Game Micromanagement
Stefan Wender; Ian Watson
64-76
A Topological Characterisation of Belief Revision over Infinite Propositional Languages
Hua Meng; Sanjiang Li
77-90
Enhancing Binary Relevance for Multi-label Learning with Controlled Label Correlations Exploitation
Yu-Kun Li; Min-Ling Zhang
91-103
Detection of Rain in Acoustic Recordings of the Environment
Meriem Ferroudj; Anthony Truskinger; Michael Towsey; Liang Zhang; Jinglan Zhang; Paul Roe
104-116
Improved Feature Transformations for Classification Using Density Estimation
Yamuna Kankanige; James Bailey
117-129
Exploiting Description Knowledge for Keyphrase Extraction
Fang Wang; Zhongyuan Wang; Senzhang Wang; Zhoujun Li
130-142
Amino Acids Pattern-Biased Spiral Search for Protein Structure Prediction
Mahmood A. Rashid; Md. Masbaul Alam Polash; M. A. Hakim Newton; Md. Tamjidul Hoque; Abdul Sattar
143-156
A HMM POS Tagger for Micro-blogging Type Texts
Parma Nand; Rivindu Perera; Ramesh Lal
157-169
An Eye-Tracking Study of User Behavior in Web Image Search
Wanxuan Lu; Yunde Jia
170-182
Privacy Preserving in Location Data Release: A Differential Privacy Approach
Ping Xiong; Tianqing Zhu; Lei Pan; Wenjia Niu; Gang Li
183-195
DRWS: A Model for Learning Distributed Representations for Words and Sentences
Chunwei Yan; Fan Zhang; Lian’en Huang
196-207
Quantum Computing for Pattern Classification
Maria Schuld; Ilya Sinayskiy; Francesco Petruccione
208-220
Pivot-Based Bilingual Dictionary Extraction from Multiple Dictionary Resources
Mairidan Wushouer; Donghui Lin; Toru Ishida; Katsutoshi Hirayama
221-234
Efficient Probabilistic Frequent Itemset Mining in Big Sparse Uncertain Data
Jing Xu; Ning Li; Xiao-Jiao Mao; Yu-Bin Yang
235-247
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 97 entries
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