Search alternatives:
training algorithm » learning algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
based training » based learning (Expand Search)
data finding » data mining (Expand Search), data hiding (Expand Search)
training algorithm » learning algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
based training » based learning (Expand Search)
data finding » data mining (Expand Search), data hiding (Expand Search)
-
161
STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization
Published 2025“…Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …”
-
162
PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits
Published 2022“…Implications are that toxicity trigger detection algorithms can leverage generic approaches but must also tailor detections to specific communities.…”
-
163
Cross entropy error function in neural networks
Published 2002“…The ANN is implemented using the cross entropy error function in the training stage. The cross entropy function is proven to accelerate the backpropagation algorithm and to provide good overall network performance with relatively short stagnation periods. …”
Get full text
Get full text
Get full text
conferenceObject -
164
-
165
-
166
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
Published 2019Get full text
doctoralThesis -
167
A new approach and faster exact methods for the maximum common subgraph problem
Published 2017“…A detailed analysis shows that the proposed algorithm requires O((m+1)n) time, which is a superior worst-case bound to those known for previously-analyzed algorithms in the setting of the MCS problem. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
168
Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations
Published 2025“…Leveraging FL enables efficient model training across diverse end-user applications while preserving data privacy. …”
-
169
A New Approach for Recognizing Saudi Arabian License Plates using Neural Networks
Published 2020“…Finally, a Multilayer Feedforward Neural Network (MFNN) with a backpropagation (BP) algorithm is used for character recognition. We discuss new features from the characters for training the NN. …”
Get full text
article -
170
Development of a deep learning-based group contribution framework for targeted design of ionic liquids
Published 2024“…This computational framework can expedite and improve the process of finding desirable molecular structures of IL via accurate property predictions in a data-driven manner. …”
-
171
Supervised term-category feature weighting for improved text classification
Published 2022“…GradientDescentANN replaces the iterative additive process mentioned previously by computing the term-category matrix using a gradient descent ANN model. Training the ANN using the gradient descent algorithm allows updating the term-category matrix until reaching convergence. …”
Get full text
Get full text
Get full text
Get full text
article -
172
Multidimensional Gains for Stochastic Approximation
Published 2019“…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …”
Get full text
Get full text
Get full text
Get full text
article -
173
Online dynamic ensemble deep random vector functional link neural network for forecasting
Published 2023“…<p>This paper proposes a three-stage online deep learning model for time series based on the ensemble deep random vector functional link (edRVFL). …”
-
174
CEAP
Published 2016“…Simulation results show that our model is able to increase the accuracy of detections, enhance the attack detection rate, decrease the false positive rate, and improve the packet delivery ratio in the presence of high mobility compared to the classical SVM-based, Dempster–Shafer-based, and averaging-based detection techniques.…”
Get full text
Get full text
Get full text
Get full text
article -
175
Single channel speech denoising by DDPG reinforcement learning agent
Published 2025“…In this paper, a novel SD algorithm is presented based on the deep deterministic policy gradient (DDPG) agent; an off-policy reinforcement learning (RL) agent with a continuous action space. …”
-
176
Investigation of Forming a Framework to shortlist contractors in the tendering phase
Published 2022“…After obtaining the weights of the decision factors, a model using Machine Learning algorithm on Google Colab was written using the Python language. …”
Get full text
-
177
Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks
Published 2013Get full text
doctoralThesis -
178
Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer
Published 2021“…The ENST00000671612.1 lncRNA transcript correlated with worse refractory free survival (RFS). Our data provides a step towards finding a novel diagnostic lncRNA-based panel for TNBC with potential therapeutic implications.…”
-
179
Blood Glucose Regulation Modelling and Intelligent Control
Published 2024Get full text
doctoralThesis -
180
Recovery of business intelligence systems
Published 2018“…The efficiency of the data recovery algorithm is substantial for e-healthcare systems. …”
Get full text
Get full text
Get full text
Get full text
article