Search Results - Discrete and Continuous learning algorithms

A novel discrete learning-based intelligent methodology for breast cancer classification purposes by Khashei, Mehdi, Bakhtiarvand, Negar

“… In all existing classification model learning processes, a continuous distance-based cost function is optimized to estimate the unknown parameters…”
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Discrete learning-based intelligent methodology for heart disease diagnosis by Khashei, Mehdi, Bakhtiarvand, Negar

“…•Developing a new discrete learning-based multilayer perceptron based on the proposed methodology…”
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A novel discrete deep learning-based intelligent methodology for energy consumption classification by Khashei, Mehdi, Chahkoutahi, Fatemeh, Bakhtiarvand, Negar

“… The common point of all these models is that whole of techniques follow a prevalent and repetitive procedure of learning process based on continuous distance-based cost function…”
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A discrete learning-based intelligent classifier for breast cancer classification by Khashei, Mehdi, Bakhtiarvand, Negar, Ahmadi, Parsa

“… Although the classification models differ in different aspects, they all have the same logic in their learning processes and use a continuous distance-based cost function…”
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Stock turning points classification using a novel discrete learning-based methodology by Khashei, Mehdi, Yazdani, Fateme, Bakhtiarvand, Negar

“…Achieving accurate turning point (TP) forecasting techniques can provide investors with tools to make profitable trading decisions, by offering the opportunity…”
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A New Discrete Learning-Based Logistic Regression Classifier for Bankruptcy Prediction by Khashei, Mehdi, Etemadi, Sepideh, Bakhtiarvand, Negar

“…Credit scoring or predicting bankruptcy is among the most crucial techniques for identifying high-risk and low-risk credit situations. Accordingly, enhancing…”
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A Novel Discrete Deep Learning–Based Cancer Classification Methodology by Soltani, Marzieh, Khashei, Mehdi, Bakhtiarvand, Negar

“… However, in the learning process of the intelligent classifiers, a continuous distance-based cost function is used to estimate the connection weights, though the goal function in classification…”
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A Comparative Study of Discrete Direction vs. Continuous Distance-Based Cost Function in Energy Classification by Khashei, Mehdi, Etemadi, Sepideh, Bakhtiarvand, Negar

“… In general, in previous research, two main categories of continuous and semi-continuous distance-based loss functions are often applied to estimate the unknown parameters of classification models…”
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Model-free inverse reinforcement learning algorithms for continuous-time and discrete-time zero-sum games by Asl, Hamed Jabbari, Le, Anh Vu, Minh, Bui Vu, Elara, Mohan Rajesh

“…This paper presents data-driven, model-free inverse optimal control (IOC) algorithms, also known as inverse reinforcement learning (IRL…”
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A Discrete-Continuous Reinforcement Learning Algorithm for Unit Commitment and Dispatch Problem by Zheng, Ping, Lv, Yuezu

“… Then, to cope with discrete commitment actions and continuous power outputs simultaneously, a discrete-continuous reinforcement learning algorithm is proposed by combining deep Q-network with soft…”
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A cross-entropy-based population-learning algorithm for discrete-continuous scheduling with continuous resource discretisation by Jędrzejowicz, Piotr, Skakovski, Aleksander

“… Z with continuous resource discretisation is introduced. Because Θ Z is NP-hard a population-learning algorithm (PLA2…”
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Machine learning and serving of discrete field theories by Qin, Hong

“… The learning algorithm trains a discrete field theory from a set of observational data on a spacetime lattice, and the serving algorithm uses the learned discrete field theory to predict new…”
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Learning Discrete Bayesian Networks from Continuous Data by Chen, Yi-Chun, Wheeler, Tim A., Kochenderfer, Mykel J.

“… While real data often contains a mixture of discrete and continuous-valued variables, many Bayesian network structure learning algorithms assume all random variables are discrete…”
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Multimodal subspace identification for modeling discrete-continuous spiking and field potential population activity by Ahmadipour, Parima, Sani, Omid G, Pesaran, Bijan, Shanechi, Maryam M

“… Here, we develop a multiscale subspace identification (multiscale SID) algorithm that enables computationally efficient learning for modeling and dimensionality reduction for multimodal discrete-continuous spike-field data…”
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Learning Bayesian networks from datasets joining continuous and discrete variables by Dojer, Norbert

“… The first one is dealing with mixed data. Most optimization criteria for learning algorithms are applicable to either discrete or continuous data…”
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A New Discrete-Continuous Algorithm for Radial Basis Function Networks Construction by Zhang, Long, Li, Kang, He, Haibo, Irwin, George W.

“… In this paper, a new discrete-continuous algorithm is proposed for the construction of a RBF model…”
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Design of space trusses using modified teaching–learning based optimization by Camp, C.V., Farshchin, M.

“… A modified teaching–learning-based optimization (TLBO) algorithm is applied to fixed geometry space trusses with discrete and continuous design variables…”
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Mixed Deep Reinforcement Learning Considering Discrete-continuous Hybrid Action Space for Smart Home Energy Management by Chao Huang, Hongcai Zhang, Long Wang, Xiong Luo, Yonghua Song

“… However, discrete-continuous hybrid action space of the considered home energy system challenges existing DRL algorithms for either discrete actions or continuous actions…”
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Discrete comprehensive learning particle swarm optimization algorithm with Metropolis acceptance criterion for traveling salesman problem by Zhong, Yiwen, Lin, Juan, Wang, Lijin, Zhang, Hui

“…Particle swarm optimization (PSO) algorithm, one of the most popular swarm intelligence algorithms, has been widely studied and applied to a large number of continuous and discrete optimization problems…”
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Optimal and Autonomous Control Using Reinforcement Learning: A Survey by Kiumarsi, Bahare, Vamvoudakis, Kyriakos G., Modares, Hamidreza, Lewis, Frank L.

“… We discuss Q-learning and the integral RL algorithm as core algorithms for discrete-time (DT) and continuous-time…”
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