Titlebook: Soft Computing in Machine Learning; Sang-Yong Rhee,Jooyoung Park,Atsushi Inoue Conference proceedings 2014 Springer International Publishi

调情

Recognition of Rocks at Uranium Deposits by Using a Few Methods of Machine Learning,curacy of geophysical data interpretation. Data interpretation can be performed using learned systems, such as artificial neural network (ANN), Linear Discriminant Analysis Classifier (LDAC), Support Vector Classification (SVM), k-Nearest-Neighbor (k-NN) and etc. In the paper “adjacency cube” method

漫步

More Faster Self-Organizing Maps by General Purpose on Graphics Processing Units,cus of attention. The feature of GPUs is that small and limited capable processors are parallelized on a massive scale, and those processors operate synchronously. From this feature, GPGPU have capability of acceleration of the specific use computation. The capability of GPGPU is specifically suitab

圣人

壕沟

Effective Selection and Mutation in Genetic Algorithm for PAPR Reduction of OFDM Signal,rawbacks of OFDM is that the peak-to-average power ratio (PAPR) of the transmitted signal tends to be high. In order to overcome this problem, peak power reduction methods based on tone injection have been proposed. The peak power reduction problem solved with tone injection (TI) is a combinatorial

大包裹

TOXIC

obviate

Origin of Kanizsa Triangle Illusion,llusion contour depends on the location and direction of the stripe notches. If notches were on the edge or at inner part of inducers, participants reported less magnitude of the contour illusion. These results suggest that there were plenty of room to consider the mechanism of Kanizsa triangle illu

灯泡

Brochure

2194-5357 (ISIS2013), held on November 13 - 16, 2013 at PaiChai Unive.As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tool

不满分子

Analysis of Local Concerts Using Facebook Adapting the Mathematical Model of Hit Phenomena,e. Views of Facebook could be predicted by the number of all the action in the viewer Facebook on this paper. In other words, Views So if determined by the actions for which you want to advertise, we will begin to see is how to should be utilized in advertising using Facebook future.