Search Results - (( developing developing function algorithm ) OR ( based representation learning algorithm ))
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Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering
Published 2024“…To address the noise problem in multi-view data, this study enhances the gbs method and develops a new self-weighted graph multi-view clustering algorithm (swmcan). …”
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Bio-signal identification using simple growing RBF-network (OLACA)
Published 2007“…An enhanced online adaptive centre allocation algorithms (or resource allocation network (RAN)) using simple/stochastic back-propagation method with minimal weight update variant are developed for direct-link radial basis function (DRBF) networks. …”
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Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
Published 2004“…A novel feature extraction algorithm was developed to extract the feature vectors. …”
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Quantum-inspired associative memories for incorporating emotion in a humanoid / Naoki Masuyama
Published 2016“…In regards to the ability improvements in terms of memory capacity and noise tolerance, the quantum-inspired hetero-association models with batch/incremental learning algorithm are developed based on QHAM. Furthermore, the quantum-inspired complexvalued hetero-association models are considered to accommodate the high dimensional problems. …”
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Leveraging CQT-VMD and pre-trained AlexNet architecture for accurate pulmonary disease classification from lung sound signals
Published 2025“…Breathing sounds from the ICBHI and KAUHS databases are analyzed, where three key intrinsic mode functions (IMFs) are extracted using VMD and subsequently converted into CQT-based time-frequency representations. …”
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Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…The systems focus on user query representation, user search intention identification and ranking algorithms to improve keyword search. …”
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Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification
Published 2020“…In this research, a fully automated system is presented to automatically detect the various states of the epileptic seizure. This study is based on sparse representation-based classification (SRC) theory and the proposed dictionary learning using electroencephalogram (EEG) signals. …”
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Malicious URL Detection with Distributed Representation and Deep Learning
Published 2023Conference Paper -
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Automatic topic-based web page classification using deep learning
Published 2023“…Different machine learning algorithms have been employed as web page classifiers to categorise the web pages. …”
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Automatic Topic-Based Web Page Classification Using Deep Learning
Published 2023“…Different machine learning algorithms have been employed as web page classifiers to categorise the web pages. …”
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Object-Oriented Programming semantics representation utilizing agents
Published 2011“…The algorithm requires source codes comparison based on keyword similarity to extract the words that exist in the two related source codes. …”
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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
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Dimensionality reduction in data summarization approach to learning relational data
Published 2013“…Based on the experimental results, the DARA algorithm is proven to be very effective in learning relational data. …”
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Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows
Published 2026“…To dynamically control content, a Deep Q-Network (DQN)-based Reinforcement Learning (RL) engine moderates’ scenes using the cultural standards and the resilience in the viewership. …”
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Global-Local Partial Least Squares Discriminant Analysis And Its Extension In Reproducing Kernel Hilbert Space
Published 2021“…Subspace learning is an essential approach for learning a low dimensional representation of a high dimensional space. …”
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Advancements and challenges in mobile robot navigation: a comprehensive review of algorithms and potential for self-learning approaches
Published 2024“…With the goal of enhancing the autonomy in mobile robot navigation, numerous algorithms (traditional AI-based, swarm intelligence-based, self-learning-based) have been built and implemented independently, and also in blended manners. …”
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BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier
Published 2008“…This paper reports on the application of sequence analysis algorithms for agents in robotic soccer and a suitable representation is proposed to achieve this mapping.The objective of this research is to generate novel better in-game strategies with the aim of faster adaptation to the changing environment.A homogeneous non-communicating multi-agent architecture using the representation is presented.To achieve real-time learning during a game, a bucket brigade algorithm is used to reinforce Cellular Automata Based Classifier. …”
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Genetic algorithm based ensemble framework for sentiment analysis
Published 2018“…Methods of feature extraction can be separated into word based and phrase based. Phrase based features generally performed better, however the feature sets they produce are much larger than word based but this is where feature selection is helpful. …”
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