Results 141 to 150 of about 2,615 (182)
KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge
Neural network techniques are widely applied to obtain high-quality distributed representations of words (i.e., word embeddings) to address text mining, information retrieval, and natural language processing tasks. Most recent efforts have proposed several efficient methods to learn word embeddings from context such that they can encode both semantic ...
Qing Cui +5 more
semanticscholar +3 more sources
Computational technologies in seismological research (on the example of KNET, Northern Tian Shan)
The results of long-term seismological investigations have been represented in the manuscript, which were obtained by the data of the seismological network KNET established in 1991 in Northern Tien Shan.
N. Sycheva
semanticscholar +3 more sources
KNET: integrating hypermedia and normative bayesian modeling
Abstract KNET is a general-purpose shell for constructing expert systems based on belief networks and decision networks. Such networks serve as graphical representations for decision models, in which the knowledge engineer must define clearly the alternatives, states, preferences, and relationships that constitute a decision basis.
R. M. Chavez, G. Cooper
semanticscholar +3 more sources
Исследование уровня сейсмического шума станций сети KNET
Наталья Александровна Сычева +3 more
semanticscholar +3 more sources
Обновленные материалы по фокальным механизмам землетрясений Северного Тянь-Шаня по данным сети KNET
Наталья Александровна Сычева
semanticscholar +3 more sources
Pyramid-KNet: Pyramid Kroneckernet-based lung cancer detection using computed tomography images
P. Kantha +5 more
semanticscholar +3 more sources
Yuanzi Xu, Jiafu Yang, Rongjun Cheng
semanticscholar +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2022
Segmentation of glands in immunohistochemical (IHC) images is the top priority for automated evaluation of CD138 positive cells, which could exclude irrelevant regions and improve accuracy and effectiveness.
Shun Zou, Feifan Liao
semanticscholar +2 more sources
Segmentation of glands in immunohistochemical (IHC) images is the top priority for automated evaluation of CD138 positive cells, which could exclude irrelevant regions and improve accuracy and effectiveness.
Shun Zou, Feifan Liao
semanticscholar +2 more sources
Seismic Instruments, 2007
Detailed analysis of the information contained in the earthquake catalogue of the Kyrgyz digital broadband seismic network over the period from 1994 to 2005 is performed. The graphs of earthquake recurrence were plotted and analyzed. The energy threshold of representativeness of the catalogue was determined.
A. Sidorin
semanticscholar +2 more sources
Detailed analysis of the information contained in the earthquake catalogue of the Kyrgyz digital broadband seismic network over the period from 1994 to 2005 is performed. The graphs of earthquake recurrence were plotted and analyzed. The energy threshold of representativeness of the catalogue was determined.
A. Sidorin
semanticscholar +2 more sources

