Results 41 to 50 of about 921,934 (330)
Journal of Big Data, 2021 Most of the current cancer treatment approaches are invasive along with a broad spectrum of side effects. Furthermore, cancer drug resistance known as chemoresistance is a huge obstacle during treatment.
Atousa Ataei +5 more
doaj +1 more source
Top-๐-convolution and the quest for near-linear output-sensitive subset sum [PDF]
Symposium on the Theory of Computing, 2020 In the classical SubsetSum problem we are given a set X and a target t, and the task is to decide whether there exists a subset of X which sums to t. A recent line of research has resulted in (t ยท poly (logt))-time algorithms, which are (near-)optimal ...
K. Bringmann, Vasileios Nakos
semanticscholar +1 more source
Toward the Assessment of Intrinsic Geometry of Implicit Brain MRI Manifolds
IEEE Access, 2021 Principal and Gaussian curvatures are commonly used intrinsic metrics for geometric morphometrics analysis: to assess morphometric changes in brain geometry (developmental neuroimaging studies), to quantify shape deformation (organ motion assessment), or
Karim Makki +2 more
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An output sensitive algorithm for computing a maximum independent set of a circle graph
Information Processing Letters, 2010 Nicholas Nash, David Gregg
openalex +3 more sources
Fault Detection of UHV Converter Valve Based on Optimized Cost-Sensitive Extreme Random Forest
Energies, 2022 Aiming at the problem of unbalanced data categories of UHV converter valve fault data, a method for UHV converter valve fault detection based on optimization cost-sensitive extreme random forest is proposed.
Fuqiang Xiong +5 more
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What Can We Learn Privately? [PDF]
, 2010 Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept classes can be learned privately, namely, by an algorithm whose output does
Adam Smith +5 more
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New Program Abstractions for Privacy [PDF]
, 2020 Static program analysis, once seen primarily as a tool for optimising programs, is now increasingly important as a means to provide quality guarantees about programs. One measure of quality is the extent to which programs respect the privacy of user data.
C Dwork +5 more
core +1 more source
Imbalanced Data Classification Algorithm Based on CSD-ELM [PDF]
Jisuanji gongcheng, 2019 The Extreme Learning Machine(ELM) based on cost-sensitive learning has its advantages in dealing with imbalanced data classification problems.However,it fails to consider the distribution characteristics of samples in different classes and the importance
WANG Dafei, XIE Wujie, DONG Wenhan
doaj +1 more source
Saline-Sodic Soil EC Retrieval Based on Box-Cox Transformation and Machine Learning
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Electrical conductivity (EC) is an important index of soil salinity level and an essential factor in judging whether improvement can be made and assessing the improvement, if any.
Xiaojie Li +5 more
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A Survey of Traffic Shaping Technology in Internet of Things
IEEE Access, 2023 In the era of the Internet of Everything, the burst of traffic will bring many problems. Traffic shaping, as a common means to limit burst traffic rate, achieves “peak and valley reduction” to smooth the output rate, avoid network ...
Hao Fu +4 more
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