Function and representation
A Distributional Representation of Gamma Function with Generalized Complex Domian
... new representation of gamma function as a series of complex delta ...gamma function can be defined over a space of complex test functions of slow growth denoted by ...gamma function are ...
10
Simulation for chaos game representation of genomes by recurrent iterated function systems
... game representation (CGR) of DNA sequences and linked protein sequences from genomes was proposed by Jeffrey (1990) and Yu et ...iterated function systems (RIFS) model is proposed to simulate the CGRs of ...
10
Alternative Representation of Green's Function for Electric Field on Surfaces of Thin Vibrators
... Alternative Representation of Green’s Function for Electric Field on Surfaces of Thin Vibrators Yuriy ...alternative representation of a Green’s function for electric fields on surfaces of thin ...
11
Fourier transform and distributional representation of the gamma function leading to some new identities
... 433], one would not expect to find any significant new statements about the gamma function. However, to the best of our knowledge, there is no distributional representa- tion of this function. We present a ...
6
The evaluation of the far field integral in the Green's function representation for steady Oseen flow
... Green’s function representation of the exterior problem in steady Oseen flow, but assumes that the far-field integral in the formulation is zero without ...Oseen representation to be ...
7
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
... common representation space where they can be com- pared ...item representation by using autoencoder to reconstruct the input ...Overall, representation learning-based methods learn ...
8
A novel string representation and kernel function for the comparison of I/O access patterns
... 2.2 Kernel Methods for Similarity Search As stated in [3], a typical machine learning systems consists of two subsystems: the feature extraction and clustering/classifier subsystems. On the one hand, the feature ...
18
On a Geometric Representation of Probability Laws and of a Coherent Prevision-Function According to Subjectivistic Conception of Probability
... Abstract We distinguish the two extreme aspects of the logic of certainty by identify- ing their corresponding structures into a linear space. We extend probability laws P formally admissible in terms of coherence to ...
13
Improved Representation of Biological Information by Using Correlation as Distance Function for Heatmap Cluster Analysis
... the function parameters in order to produce figures that support mea- ningful biological ...the representation of biological experiments in the omics ...
16
Constrained BSDEs representation of the value function in optimal control of pure jump Markov processes
... The paper is organized as follows. Section 2 is essentially devoted to lay down a setting where the classical optimal control problem (1.2) is solved by means of the corresponding HJB equation (1.3). We first recall the ...
33
The log-linear response function of the bounded number-line task is unrelated to the psychological representation of quantity
... positively accelerating (expansive, rather than compressive). In addition, p(log) increases with the positively accelerating biases. These findings result from the fact that observers cannot respond outside the bounds of ...
24
A representation function for a distribution of points on the unit sphere—with applications to analyses of the distribution of virtual geomagnetic poles
... analytic function in the form of a spherical harmonic ...this representation function are illustrated in an analysis of the symmetries in the virtual geomagnetic pole (VGP) distribution of the ...
10
Flexible Piecewise Function Evaluation Methods Based on Truncated Binary Search Trees and Lattice Representation in Explicit MPC
... LOTBST 4556 2410 2067 24722 LR — — 8985 60 1684594 criminating hyper-planes instead of the HPs resulting from the polyhedral region descriptions giving extensive reduction in the preprocessing time comparing to the BST. ...
9
Improved Classification of Lung Cancer Using Radial Basis Function Neural Network with Affine Transforms of Voss Representation
... Basis Function (RBF) neural networks to obtain an appropriate combina- tion of computational methods to achieve improved classification of lung cancer biomarker ...Voss representation, HOG genomic features ...
25
Accessible and navigable representation of mathematical function graphs to the vision-impaired
... Received: October 14, 2015 Accepted: October 26, 2015 Online Published: December 15, 2015 doi:10.5539/cis.v9n1p31 URL: http://dx.doi.org/10.5539/cis.v9n1p31 Abstract Vision-impaired students have several issues accessing ...
10
Abstract Feature Space Representation for Volumetric Transfer Function Exploration
... transfer function into an intuitive and interactive ...transfer function domains. Cur- rent two-dimensional transfer function widgets typically consist of a two-dimensional histogram where each entry ...
10
A new representation of extended Mittage-Leffler function and its properties
... contains Gamma function, Beta function, Hypergeometric function, Bessel’s function, Mittag-Leffler.. 14.[r] ...
7
Simulation for chaos game representation of genomes by recurrent iterated function systems
... Twenty different kinds of amino acids are found in 1. INTRODUCTION proteins. The idea of CGR of DNA sequences pro- The hereditary information of organisms (except for posed by Jeffrey (1990) was generalized and applied ...
8
Data representation and basis selection to understand variation of function valued traits
... the representation of the curves based on these grid points and attribute ...based representation of the curves is produced by plotting the attribute values at the given time ...
179