Titlebook: Neural Information Processing; 22nd International C Sabri Arik,Tingwen Huang,Qingshan Liu Conference proceedings 2015 Springer Internationa

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0302-9743 tion Systems;Artificial Intelligence and Neural Networks: Theory, Design, and Applications;Image and Signal Processing; and Intelligent Social Networks..978-3-319-26534-6978-3-319-26535-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

Neonatal

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Motor Imagery Task Classification Using a Signal-Dependent Orthogonal Transform Based Feature Extra widely used linear transform for feature extraction methods, namely discrete cosine transform (DCT) and adaptive autoregressive (AAR). By achieving an accuracy of 67.35 %, the LP-SVD based method outperformed the other two by large margins (+25 % compared to DCT and +6 % compared to AAR-based methods).

synovitis

Recent Advances in Improving the Memory Efficiency of the TRIBE MCL Algorithm,. The algorithm needs 10–20 % less time for processing the same data sizes than previous efficient Markov clustering algorithms, without losing anything from the partition quality. The proposed solution is open for further improvement via parallel data processing.

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Granular

Non-negative Spectral Learning for Linear Sequential Systems,e a non-negative spectral algorithm (NNSpectral) avoiding computing negative probabilities by design. NNSpectral is compared to other MoM-based algorithms and EM on synthetic problems of the PAutomaC challenge. Not only, NNSpectral outperforms other MoM-based algorithms, but also, achieves very competitive results in comparison to EM.

Fabric

A Survey of Applying Machine Learning Techniques for Credit Rating: Existing Models and Open Issuesproval data sets. Based on a systematic review of literatures, we further compare and discuss about the performance of existing models. In addition, we identified and illustrated the limitations of existing works and discuss about some open issues that could benefit future research in this area.

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Pantry

Mostefa Mesbah,Aida Khorshidtalab,Hamza Baali,Ahmed Al-Anibar.Ausführliche Konzepte mit vielen Bildern.Bestens geeigne.Die arbeitsteilige Entwicklung großer Softwaresysteme erfordert in zunehmendem Maße analytische und darstellerische Fähigkeiten. Insbesondere technische Entscheidungsträger wie der Systemarchitekt müssen Systeme als Ganzes und auf konzepti