Results 61 to 70 of about 204,288 (176)

Some Observations on the Concepts of Information-Theoretic Entropy and Randomness

Entropy, 2001
: Certain aspects of the history, derivation, and physical application of the information-theoretic entropy concept are discussed. Pre-dating Shannon, the concept is traced back to Pauli.
Jonathan D.H. Smith
doaj   +1 more source

End-to-end Binary Representation Learning via Direct Binary Embedding

, 2017
Learning binary representation is essential to large-scale computer vision tasks. Most existing algorithms require a separate quantization constraint to learn effective hashing functions.
Liu, Liu, Qi, Hairong, Rahimpour, Alireza, Taalimi, Ali   +3 more
core   +1 more source

Generalized decomposition and cross entropy methods for many-objective optimization [PDF]

, 2012
Decomposition-based algorithms for multi-objective optimization problems have increased in popularity in the past decade. Although their convergence to the Pareto optimal front (PF) is in several instances superior to that of Pareto-based algorithms ...
Fleming, P.J., Giagkiozis, I., Purshouse, R.C.   +2 more
core  

J Regularization Improves Imbalanced Multiclass Segmentation [PDF]

, 2019
We propose a new loss formulation to further advance the multiclass segmentation of cluttered cells under weakly supervised conditions. When adding a Youden's J statistic regularization term to the cross entropy loss we improve the separation of touching
Cunha, Alexandre, Guerrero Peña, Fidel A., Marrero Fernandez, Pedro D., Meyerowitz, Elliot M., Ren, Tsang Ing, Tarr, Paul T.   +5 more
core   +1 more source

Fine-Grained Semantics-Enhanced Graph Neural Network Model for Person-Job Fit

Entropy
Online recruitment platforms are transforming talent acquisition paradigms, where a precise person-job fit plays a pivotal role in intelligent recruitment systems.
Xia Xue, Jingwen Wang, Bo Ma, Jing Ren, Wujie Zhang, Shuling Gao, Miao Tian, Yue Chang, Chunhong Wang, Hongyu Wang   +9 more
doaj   +1 more source

General split gaussian Cross–Entropy clustering

Expert Systems with Applications, 2017
We have applied highly applicable clustering method to non-normal data.We use a generalization of Split Normal distribution.We use Cross-Entropy clustering method instead of EM approach.Our algorithm gives better results than classical methods.
openaire   +2 more sources

Interval-valued T-spherical fuzzy extended power aggregation operators and their application in multi-criteria decision-making

Journal of Intelligent Systems
As an effective tool to show the fuzziness of qualitative information, the interval-valued T-spherical fuzzy set can utilize three kinds of information, namely, membership, abstinence, and non-membership, to show the opinions of decision-maker.
Chen Lu
doaj   +1 more source

Prediction Model of the Power System Frequency Using a Cross-Entropy Ensemble Algorithm

Entropy, 2017
Frequency prediction after a disturbance has received increasing research attention given its substantial value in providing a decision-making foundation in power system emergency control.
Yi Tang, Han Cui, Qi Wang
doaj   +1 more source

Cross-Entropy Method for Content Placement and User Association in Cache-Enabled Coordinated Ultra-Dense Networks

Entropy, 2019
Due to the high splitting-gain of dense small cells, Ultra-Dense Network (UDN) is regarded as a promising networking technology to achieve high data rate and low latency in 5G mobile communications.
Jia Yu, Ye Wang, Shushi Gu, Qinyu Zhang, Siyun Chen, Yalin Zhang   +5 more
doaj   +1 more source

Sample Survey Calibration: An Informationtheoretic perspective [PDF]

We show that the pseudo empirical maximum likelihood estimator can be recast as a calibration estimator. The process of estimating the probabilities pk of the distribution function can be done also in a maximum entropy framework.
Martin Wittenberg
core   +1 more source