Titlebook: Knowledge Acquisition: Approaches, Algorithms and Applications; Pacific Rim Knowledg Debbie Richards,Byeong-Ho Kang Conference proceedings

慷慨不好

Malleable

A Novel Classification Algorithm Based on Association Rules Mining rules pruning and rules reducing to gain the smaller rules set (i.e., reducing the time of identifying the class of new cases and increasing the accuracy). We also develop property to fast prune rules.

heterogeneous

A Design for Library Marketing System and Its Possible Applicationsl code, such as the QR code that is very popularly used in mobile phones. By combining several analysis methods, we can construct a library marketing system, which will give benefits to library management and patron services.

控制

978-3-642-01714-8Springer-Verlag Berlin Heidelberg 2009

慢跑

Knowledge Acquisition: Approaches, Algorithms and Applications978-3-642-01715-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

戰(zhàn)勝

Adjourn

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/k/image/543830.jpg

AXIOM

INCH

Experiments with Adaptive Transfer Rate in Reinforcement Learninginforcement learning problems have been successfully solved by efficient transfer learners. However, most of these algorithms suffer from a severe flaw: they are implicitly tuned to transfer knowledge between tasks having a given degree of similarity. In other words, if the previous task is very dis

廢墟

Clustering over Evolving Data Streams Based on Online Recent-Biased Approximationeams is proposed taking advantage of recent-biased approximation. In recent-biased approximation, more details are preserved for recent data and fewer coefficients are kept for the whole data stream, which improves the efficiency of clustering and space usability greatly. Our framework consists of t