[PDF] Top 20 Class-imbalanced classifiers for high-dimensional data
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Class-imbalanced classifiers for high-dimensional data
... All classifiers suffer from lack of data; each factor or combination affects particular classifiers differ- ...combination. For the algorithms and correction strategies investigated in this ... See full document
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Visualization for High-dimensional Data: VisHD
... categories In our experiments, we adopt two kinds of data sets: face images and general-purposed images. The former contains color face images of four persons from XM2VTS database where each person has four images ... See full document
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Information granulation based data mining approach for classifying imbalanced data
... the data set is portioned into 10 equal sized sets and each set is then in turn used as the test ...with imbalanced data, this index may be insufficient as can be seen from ...majority class ... See full document
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Knowledge acquisition through information granulation for imbalanced data
... from imbalanced/skewed data, which almost all the instances are labeled as one class while far few instances are labeled as the other class, traditional machine learning algorithms tend to ... See full document
11
A High-Speed Feature Selection Method For Large Dimensional Data Set
... method for accelerating the feature selection ...set for the given data set ...built for cleansing the bitmap indexing matrix and the cases with noisy information are thus filtered ...a ... See full document
33
Discover the Semantic Topology in High-Dimensional Data
... defined class (see Tables 2 and 3). The evaluation was conducted for the cluster numbers ranging from 2 to 10 on the Reuter data ...set. For each given cluster number k, the performance scores ... See full document
7
A two dimensional partial-response maximum-likelihood technique for holographic data storage systems
... Holographic data storage (HDS) system is currently regarded as the optical storage systems of next generation, because of its high data transfer rate and high ...recorded data is ... See full document
4
Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems
... important for proper treatment and ...expression data for these tasks is challenging because of its high dimensional nature and the noisy ...methods for classification often do ... See full document
33
Quantile-DEA classifiers with interval data
... the classifiers for dealing with binary clas- sification problems with interval data whose difficulty to be tackled has been well rec- ognized, regardless of the ...proposed classifiers ... See full document
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Fuzzy perceptron neural networks for classifiers with numerical data and linguistic rules as inputs
... before, for connectionist model-based clas- sification systems presented in the literature, most learning procedures utilize and process numerical data only, ...minimized. For instance, fuzzy IF-THEN ... See full document
16
Homogeneous barrier modulation of TaOx/TiO2 bilayers for ultra-high endurance three-dimensional storage-class memory
... a high self- rectifying ratio at a low operating current, negligible cycling variation, forming-free and self-compliance characteristics, and an extremely high endurance, capable of realizing work- ing ... See full document
8
Bayesian classification for data from the same unknown class
... speech data recorded at the National Chiao-Tung ...speech data. For each speech frame, both a twelfth-order linear predictive analysis and a log energy analysis were ...vector for training or ... See full document
9
Three-dimensional PAC video codec for wireless data transmission
... video data is organized in a cube form, which has the features of processing parallelism and great compression ...wireless data transmission with a bit rate lower than ...shown. For a video sequence ... See full document
16
Determining the optimal re-sampling strategy for a classification model with imbalanced data using design of experiments and response surface methodologies
... strategy for the majority class and minority class in a two-class imbalanced ...majority class and the number of the instances duplicated from the minority class are ... See full document
6
Data mining for the diagnosis of type II diabetes from three-dimensional body surface anthropometrical scanning data
... As a result of some nodes having been repeated, a total of thirteen anthropometrical factors (height, weight, breast circumference, waist circumference, left upper a[r] ... See full document
18
Hardware Design for Statistical Network Traffic Classifiers
... Keywords—traffic classification, packet size, message size distribution, sequence, hardware classifier I. I NTRODUCTION Classifying a network flow by its source applications is essential for application-aware ... See full document
5
Latent class nested logit model for analyzing high-speed rail access mode choice
... latent class model with the MNL formulation, this research avoided the shortcoming of the IIA property by using the latent class NL ...latent class NL model simultaneously accounts for flexible ... See full document
10
VLSI design for high-speed LZ-based data compression
... If the amval time of any group leader is earlier than the others, the switch position of that encoding cell will be switched to the node that can construct a data path for the op[r] ... See full document
11
Hadamard transform based fast codeword search algorithm for high-dimensional VQ encoding
... example, for the Lena image encoded with 512 8 · 8 dimensional codewords, the PSNR value is ...dB for all ...a high-detail image outside the training set, the encoding time of the Baboon image ... See full document
6
New Efficient Password Authenticated Key Exchange Protocol for Imbalanced Wireless Networks
... Wireless, Imbalanced, Password Guessing 1 Introduction In a wireless network environment, information is transmitted in electromagnetic media through the air, rather than traditional wired or other physical ... See full document
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