Annealing Data Set(热处理数据集) 数据摘要: Steel annealing data 中文关键词: 机器学习,多变量,分类,UCI,热处理, '-' values are actually 'not_applicable' values rather than 'missing_values' (and so can be treated as legal discrete values rather than as showing the absence of a discret...
Prediction of geologically realistic AFTA parameters based on laboratory annealing dataThe observation that fission track annealing in apatite occurs in geological situations over a similar temperature range to that over which oil is generated has opened up a wide field of applications of Apatite Fission...
Hadler, Improved zircon fission-track annealing model based on reevaluation of annealing data, Phys. Chem. Miner. 40 (2013) 93-106.Guedes, S., Moreira, P.A., Devanathan, R., Weber, W.J., Hadler, J.C., 2013. Improved zircon fission-track annealing model based on reevaluation of ...
Collaborative annealing power k-means++ clustering作者: Highlights: • 摘要 Clustering is the most fundamental technique for data processing. This paper presents a collaborative annealing power k-means++ clustering algorithm by integrating the k-means++ and power k-means algorithms in a collaborative ...
To improve kinetic models for apatite fission-track annealing, we present new experimental annealing data that complement previously published data. To determine the degree of annealing of induced tracks, surface density (ρ), and mean horizontal-confined track lengths (l), were measured, both for ...
It is based on networks trained with a combination of simulated annealing and conjugate gradient within a broad scale, high throughput computing data mining... JJ Valdes,AJ Barton - IEEE 被引量: 20发表: 2005年 Global Biclustering of Microarray Data We consider the problem of simultaneously cluste...
The data presented here is complementary to the publication entitled "High temperature, low neutron cross-section high-entropy alloys in the Nb-Ti-V-Zr system" [1]. A homogenization methodology with slower cooling rate (2 °C/min) was performed. X-ray diffraction and scanning electron microscop...
Using this data, we can compute the TTS using Eq. (3) for each of the random graphs. Thus, the total TTS for a group of graphs that were solved sequentially is the sum of each of their individual TTS values (in contrast to using parallel quantum annealing where we compute the ensemble...
Boolean matrix factorization is a special case of factor analysis whereby the input data are given as a matrixX∈Bn×m, whereB={0,1}. The task is to decomposeX=ABinto two binary matricesA∈Bn×kandB∈Bk×m, wherexij=∨l=1kailylj∈Band∨is the logical “or” operation (1+1=1). ...
Discusses about partitioning a data set and extracting hidden structure from the data arises in different application areas. Stochastic optimization by maximum entropy inference; Cost functions for data clustering; Mean-field approximation of pairwise clustering; Pairwise clustering and embedding; Results ...