Zobrazeno 1 - 10
of 1 219
pro vyhledávání: '"Data transformation (statistics)"'
Publikováno v:
IEEE Transactions on Multimedia. 25:315-328
With the development of online real estate trading platforms, multi-modal housing trading data, including structural information, location, and interior image data, are being accumulated. The accurate appraisal of real estate makes sense for governme
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:9549-9560
Available data in machine learning applications is becoming increasingly complex, due to higher dimensionality and difficult classes. There exists a wide variety of approaches to measuring complexity of labeled data, according to class overlap, separ
Publikováno v:
IEEE Transactions on Cybernetics. 52:10200-10213
Linear discriminant analysis (LDA) is a classical statistical machine-learning method, which aims to find a linear data transformation increasing class discrimination in an optimal discriminant subspace. Traditional LDA sets assumptions related to th
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-13
Subsurface lithofacies classification refers to the way of establishing a classifier on the interpreted well logging data to predict the lithofacies types corresponding to the uninterpreted ones. Such a task has become a research focus by applying ma
Autor:
Chiang Kao
Publikováno v:
European Journal of Operational Research. 296:267-276
Data envelopment analysis (DEA) is a technique used to measure the relative efficiency of a set of production units that applies multiple inputs to produce multiple outputs. In its original settings, the data is required to be nonnegative. To allow f
Autor:
Muhammad Rizwan, Rabia Abid, Mavra Mehmood, Jamel Nebhen, Talha Javed, Giridhar Reddy Bojja, Sidra Abbas
Publikováno v:
Computers, Materials & Continua. 70:91-107
Due to the widespread use of the internet and smart devices, various attacks like intrusion, zero-day, Malware, and security breaches are a constant threat to any organization’s network infrastructure. Thus, a Network Intrusion Detection System (NI
Autor:
Amlan Jyoti Baruah, Siddhartha Baruah
Publikováno v:
International Journal of Automation and Computing. 18:981-992
The main aim of an educational institute is to offer high-quality education to students. The system to achieve better quality in the educational system is to find the knowledge from educational data and to discover the attributes that manipulate the
Publikováno v:
Applied Intelligence. 52:8428-8447
Aspect-based sentiment classification (ABSC) is a fine-grained analysis task that obtains different sentiment polarities contained in a single text from the views of different aspects. Its practicability draws so much attention from researchers that
Autor:
Kwok Leung Yiu, Baishen Pan, Qian Yu, Wenhai Jiang, Yin Zhao, Luo Lei, Xincen Duan, Kim Thiam Chin, Beili Wang, Chunyan Zhang, Wei Guo, J. Zhou, Jing Zhu, Wenqi Shao
Publikováno v:
Clinical Chemistry. 67:1342-1350
Background Patient-based real-time quality control (PBRTQC) has gained increasing attention in the field of clinical laboratory management in recent years. Despite the many upsides that PBRTQC brings to the laboratory management system, it has been q
Autor:
Sheikh Umar Farooq, Nayeem Ahmad Bhat
Publikováno v:
Arabian Journal for Science and Engineering. 47:1939-1954
The selection of relevant training data significantly improves the quality of cross-project defect prediction (CPDP) process. We propose a training data selection approach and compare its performance against the Burak filter and the Peter filter over