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» Improving the Use of Multiplicity in UML Association
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BCEC
1997
13 years 9 months ago
Attractor Network Models of Cortical Associative Memory
Attractor network models of cortical associative memory functions have developed considerably over the past few years. Here we show that we can improve them further, in terms of c...
Anders Lansner, Erik Fransén
KDD
1998
ACM
122views Data Mining» more  KDD 1998»
13 years 11 months ago
Memory Placement Techniques for Parallel Association Mining
Many data mining tasks (e.g., Association Rules, Sequential Patterns) use complex pointer-based data structures (e.g., hash trees) that typically suffer from sub-optimal data loca...
Srinivasan Parthasarathy, Mohammed Javeed Zaki, We...
TEC
2008
165views more  TEC 2008»
13 years 7 months ago
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
Shengxiang Yang, Xin Yao
CVPR
2011
IEEE
12 years 11 months ago
An Associate-Predict Model for Face Recognition
Handling intra-personal variation is a major challenge in face recognition. It is difficult how to appropriately measure the similarity between human faces under significantly di...
Qi Yin, Jian Sun, Xiaoou Tang
WISE
2010
Springer
13 years 5 months ago
Neighborhood-Restricted Mining and Weighted Application of Association Rules for Recommenders
Abstract. Association rule mining algorithms such as Apriori were originally developed to automatically detect patterns in sales transactions and were later on also successfully ap...
Fatih Gedikli, Dietmar Jannach