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MTech Machine Learning Projects

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List of articles in category MTech Machine Learning Projects
No. Project Titles Abstract
101. Classification of Mixed Frequency Data Using a Novel Discriminative Dictionary Pair Learning Restricted by Ordinal Locality Abstract
102. Unsupervised Domain Adaptation Using a Deep Ladder-Suppression Network Abstract
103. In Graph Neural Networks, Deep Constraint-based Propagation Abstract
104. A Survey on Database and Artificial Intelligence Abstract
105. CuWide: Towards Efficient Flow-based Sparse Wide Models Training on GPUs Abstract
106. Multiview Sequential Data Modeling with Conditional Random Fields Abstract
107. Deep Generative Models With Mixture Models for Clustering Analysis Abstract
108. Complex stochastic models are learned by BayesFlow using invertible neural networks. Abstract
109. An Adaptive Social Spammer Detection Model with Semi-supervised Broad Learning Abstract
110. Data Pricing: A Survey from Economics to Data Science Abstract
111. A heterogeneous ensemble learning approach for predicting neuroblastoma survival Abstract
112. Active Cold-Start Sampling via y-Tube Abstract
113. Consensus Accelerated Proximal Reweighted Iteration for a Class of Nonconvex Minimizations (Capri) Abstract
114. Deep Active Learning for Bioinspired Scene Classification in Remote Sensing Applications Abstract
115. Analysis of Piecewise Linear Neural Networks' Number of Linear Regions Abstract
116. A Way to Trusted and Robust Analog/RF ICs: An Experimentation Platform for On-Chip Integration of Analog Neural Networks Abstract
117. Dimensionality Reduction Using Adaptive Local Embedding Learning in a Semi-Supervised Environment Abstract
118. Large-Scale Machine Learning Survey Abstract
119. Weighted MinHash Algorithms: A Review Abstract
120. A Hybrid System for Time Series Forecasting Based on Dynamic Selection Abstract
121. Deep Multi-View Anomaly Detection Framework for Attributed Networks Abstract
122. Optimizing LSM-Tree Key-Value Stores with Adaptive Lower-level Driven Compaction Abstract
123. Integrating Reviews for Item Recommendation Using an Adaptive Hierarchical Attention-Enhanced Gated Network Abstract
124. A Survey on Contemporary Deep Neural Network for Traffic Prediction Trends, Techniques, and Challenges Abstract
125. Knowledge Graph-Based Recommender Systems: A Survey Abstract
126. A Review of Deep Unsupervised Single-Source Visual Domain Adaptation Abstract
127. A Novel Approach for Introducing Cluster Size Reduction and Diversity into an Optimized Ensemble Classifier Abstract
128. Fast and Robust Representative Selection from Manifolds Using a Multi-Criteria Approach Abstract
129. Real-Time Matrix Retrieval Using a High-Performance Index Abstract
130. Crossing-City POI Recommendations Using a Deep Neural Network Abstract
131. A Recommender Framework for BP Neural Networks with an Attention Mechanism Abstract

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