Titlebook: Innovation Networks; New Approaches in Mo Andreas Pyka,Andrea Scharnhorst Book 2009 Springer-Verlag Berlin Heidelberg 2009 Evolution.Innova

CUB

Robin Cowan,Nicolas Jonard logging. We conduct trace-driven experiments on the TPC-C benchmark to measure the performance of our proposal. The results show that LFLogging achieves up to 4~5X improvement in system throughput than existing approaches including WAL and PCMLogging.

廣口瓶

不自然

Jürg Reichardt,Stefan Bornholdt represented as vector space model (VSM) using TF-IDF after words segmentation. To improve performance, we construct a set of judicial stop words. Besides, as TF-IDF generates a high dimensional feature vector, which leads to an extremely high time complexity, we utilize three dimensional reduction

Frequency-Range

Michael D. K?nig,Stefano Battiston,Frank Schweitzerfast structure learning. Then, ABNL feeds the data partition to different learning algorithms to obtain a collection of BN Structures. Lastly, ABNL adaptively chooses the structures and merge them into a final network structure using an ensemble method. Experimental results on four big datasets show