SOUTH, R., BOOTS, B. "Relaxing the nearest centre assumption in central place theory". Papers in Regional Science, n.78, p.157-177, 1999.South R, Boots B (1999) Relaxing the nearest centre assumption in central place theory. Pap Reg Sci 78(2):157-177...
In theory, one can design quantum-inspired algorithms for Nearest Centroid and for other quantum machine learning applications that also use special classical data structures to approximate the distances33. These quantum-inspired algorithms depend poly-logarithmically in the dimension d but have much ...
Elements of Information Theory Roman F. Nalewajski Jan 2011 3 被引用 · 0 笔记 引用 Nearest neighbor (NN) norms: NN pattern classification techniques Belur V. Dasarathy Jan 1991 633 被引用 · 0 笔记 引用 Outer-Layer Based Tracking using Entropy as a Similarity Measure Vincent Garcia...
[82]). Energetic particle transport theory is the favoured approach to solving the large-scale particle acceleration and transport problem in shock acceleration and cosmic-ray transport, and in this scenario the primary acceleration mechanism is due to adiabatic compression [83]. Simulations by Li ...
Kinematics and Physics of Celestial Bodies V. A. Zakhozhay& O. V. Zakhozhay 28Accesses 2Citations Explore all metrics Abstract We present a review of a publication concerning the problem of the existence of disks around stars and substars within 10 pc from the Solar System; outline the pr...
In theory, one can design quantum-inspired algorithms for Nearest Centroid and for other quantum machine learning applications that also use special classical data structures to approximate the distances33. These quantum-inspired algorithms depend poly-logarithmically in the dimension d but have much ...
http://www.daylight.com/dayhtml/doc/theory/theory.finger.html. Accessed 11 Sept 2015 Mansouri K, Ringsted T, Ballabio D, Todeschini R, Consonni V (2013) Quantitative structure–activity relationship models for ready biodegradability of chemicals. J Chem Inf Model 53(4):867–878 Article CAS ...
However, some significant gaps exist between theoretical prediction and implementation on the path from theory to technology. These gaps result in unforeseen technological hurdles and sometimes misconceptions, necessitating more careful case-by-case studies such as [10]. It is known from the literature...
(5) 2.2. Nonconformity Measure In theory, any other prediction algorithms can be modified and developed as underlying algorithms (nonconformity measure). Vladimir Vovk once used k-nearest neighbors as the underlying algorithm to compute nonconformity measure for the conformal prediction [10]; so, ...