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    KBS
    2016
    60views more  KBS 2016»
    A comparative study of multigranulation rough sets and concept lattices via rule acquisition
    9 years 11 months ago
    A comparative study of multigranulation rough sets and concept lattices via rule acquisition
    Download  www.yuhuaqian.net
    Recently, by combining rough set theory with granular computing, pessimistic and optimistic multigranulation rough sets have been proposed to derive “AND” and “OR” decisio...
    Jinhai Li, Yue Ren, Changlin Mei, Yuhua Qian, Xibe...
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    KBS
    2016
    66views more  KBS 2016»
    Uninorm trust propagation and aggregation methods for group decision making in social network with four tuple information
    9 years 11 months ago
    Uninorm trust propagation and aggregation methods for group decision making in social network with four tuple information
    Download  www.cse.dmu.ac.uk
    A novel social network based group decision making (SN-GDM) model with experts’ weights not provided beforehand and with the following four tuple information: trust; distrust; h...
    Jian Wu, Ruoyun Xiong, Francisco Chiclana
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    KBS
    2016
    52views more  KBS 2016»
    The bi-objective quadratic multiple knapsack problem: Model and heuristics
    9 years 11 months ago
    The bi-objective quadratic multiple knapsack problem: Model and heuristics
    Download  www.info.univ-angers.fr
    Yuning Chen, Jin-Kao Hao
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    KBS
    2016
    40views more  KBS 2016»
    The fuzzy ontology reasoner fuzzyDL
    9 years 11 months ago
    The fuzzy ontology reasoner fuzzyDL
    Download  ceur-ws.org
    Abstract. Fuzzy ontologies allow the representation of imprecise structured knowledge, typical in many real-world application domains. A key factor in the practical success of fuzz...
    Fernando Bobillo, Umberto Straccia
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    KBS
    2016
    51views more  KBS 2016»
    An evolutionary path relinking approach for the quadratic multiple knapsack problem
    9 years 11 months ago
    An evolutionary path relinking approach for the quadratic multiple knapsack problem
    Download  www.info.univ-angers.fr
    The quadratic multiple knapsack problem (QMKP) is a challenging combinatorial optimization problem with numerous applications. In this paper, we propose the first evolutionary pa...
    Yuning Chen, Jin-Kao Hao, Fred Glover
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    KAIS
    2016
    71views more  KAIS 2016»
    Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach
    9 years 11 months ago
    Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach
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    Truyen Tran, Dinh Phung, Svetha Venkatesh
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    KAIS
    2016
    112views more  KAIS 2016»
    Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm
    9 years 11 months ago
    Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm
    Download  germain-forestier.info
    —A concerted research effort over the past two decades has heralded significant improvements in both the efficiency and effectiveness of time series classification. The consensus...
    François Petitjean, Germain Forestier, Geof...
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    KAIS
    2016
    75views more  KAIS 2016»
    HICC: an entropy splitting-based framework for hierarchical co-clustering
    9 years 11 months ago
    HICC: an entropy splitting-based framework for hierarchical co-clustering
    Download  engr.case.edu
    Abstract. Two dimensional contingency tables or co-occurrence matrices arise frequently in various important applications such as text analysis and web-log mining. As a fundamental...
    Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang
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    JVCIR
    2016
    57views more  JVCIR 2016»
    Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation
    9 years 11 months ago
    Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation
    Download  www.ntu.edu.sg
    —Image segmentation refers to the process to divide an image into non-overlapping meaningful regions according to human perception, which has become a classic topic since the ear...
    Hongyuan Zhu, Fanman Meng, Jianfei Cai, Shijian Lu
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    JVCIR
    2016
    85views more  JVCIR 2016»
    Learning hierarchical spatio-temporal pattern for human activity prediction
    9 years 11 months ago
    Learning hierarchical spatio-temporal pattern for human activity prediction
    Download  web.xidian.edu.cn
    Wenwen Ding, Kai Liu, Fei Cheng, Jin Zhang
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