Materias dentro de su búsqueda.
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4031Publicado 1991Materias: “…Intel·ligència artificial…”
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4036Publicado 2018Materias: “…Artificial intelligence Data processing…”
Libro electrónico -
4037Publicado 2019Tabla de Contenidos: “…-- 7.4.3 Four Techniques -- 7.5 Naive Bayes Classifiers -- 7.5.1 Pseudo-Code -- 7.5.2 Implementation Notes -- 7.6 Decision Tree Learning -- 7.6.1 ID3 -- 7.6.2 ID3 with Continuous Attributes -- 7.6.3 Incremental Decision Tree Learning -- 7.7 Reinforcement Learning -- 7.7.1 The Problem -- 7.7.2 The Algorithm -- 7.7.3 Pseudo-Code -- 7.7.4 Data Structures and Interfaces -- 7.7.5 Implementation Notes -- 7.7.6 Performance -- 7.7.7 Tailoring Parameters -- 7.7.8 Weaknesses and Realistic Applications -- 7.7.9 Other Ideas in Reinforcement Learning -- 7.8 Artificial Neural Networks -- 7.8.1 Overview -- 7.8.2 The Problem -- 7.8.3 The Algorithm -- 7.8.4 Pseudo-Code -- 7.8.5 Data Structures and Interfaces -- 7.8.6 Implementation Caveats -- 7.8.7 Performance -- 7.8.8 Other Approaches -- 7.9 Deep Learning -- 7.9.1 What is Deep Learning? …”
Libro electrónico -
4038Publicado 2022Tabla de Contenidos: “…Chapter 1: Natural Language Processing and Artificial Intelligence Overview -- Chapter 2: Product360 - Sentiment and Emotion Detector -- Chapter 3: TED Talks Segmentation and Topics Extraction Using Machine Learning -- Chapter 4: Enhancing E-commerce Using an Advanced Search Engine and Recommendation System -- Chapter 5: Creating a Resume Parsing, Screening, and Shortlisting System -- Chapter 6: Creating an E-commerce Product Categorization Model Using Deep Learning -- Chapter 7: Predicting Duplicate Questions in Quora -- Chapter 8: Named Entity Recognition Using CRF and BERT -- Chapter 9: Building a Chatbot Using Transfer Learning -- Chapter 10: News Headline Summarization -- Chapter 11: Text Generation - Next Word Prediction -- Chapter 12: Conclusion and Future Trends…”
Libro electrónico -
4039Publicado 2022Tabla de Contenidos: “…5.3.1 FTI SPAM Using GA Algorithm -- 5.3.1.1 Chromosome Generation -- 5.3.1.2 Fitness Function -- 5.3.1.3 Crossover -- 5.3.1.4 Mutation -- 5.3.1.5 Termination -- 5.3.2 Patterns Matching Using SCI -- 5.3.3 Pattern Classification Based on SCI Value -- 5.3.4 Significant Pattern Evaluation -- 5.4 Detection of Congestive Heart Failure Using Automatic Classifier -- 5.4.1 Analyzing the Dataset -- 5.4.2 Data Collection -- 5.4.2.1 Long-Term HRV Measures -- 5.4.2.2 Attribute Selection -- 5.4.3 Automatic Classifier-Belief Network -- 5.5 Experimental Analysis -- 5.6 Conclusion -- References -- 6 Multimodal Context-Sensitive Human Communication Interaction System Using Artificial Intelligence-Based Human-Centered Computing -- 6.1 Introduction -- 6.2 Literature Survey -- 6.3 Proposed Model -- 6.3.1 Multimodal Data -- 6.3.2 Dimensionality Reduction -- 6.3.3 Principal Component Analysis -- 6.3.4 Reduce the Number of Dimensions -- 6.3.5 CNN -- 6.3.6 CNN Layers -- 6.3.6.1 Convolution Layers -- 6.3.6.2 Padding Layer -- 6.3.6.3 Pooling/Subsampling Layers -- 6.3.6.4 Nonlinear Layers -- 6.3.7 ReLU -- 6.3.7.1 Fully Connected Layers -- 6.3.7.2 Activation Layer -- 6.3.8 LSTM -- 6.3.9 Weighted Combination of Networks -- 6.4 Experimental Results -- 6.4.1 Accuracy -- 6.4.2 Sensibility -- 6.4.3 Specificity -- 6.4.4 A Predictive Positive Value (PPV) -- 6.4.5 Negative Predictive Value (NPV) -- 6.5 Conclusion -- 6.6 Future Scope -- References -- 7 AI, Planning and Control Algorithms for IoRT Systems -- 7.1 Introduction -- 7.2 General Architecture of IoRT -- 7.2.1 Hardware Layer -- 7.2.2 Network Layer -- 7.2.3 Internet Layer -- 7.2.4 Infrastructure Layer -- 7.2.5 Application Layer -- 7.3 Artificial Intelligence in IoRT Systems -- 7.3.1 Technologies of Robotic Things -- 7.3.2 Artificial Intelligence in IoRT -- 7.4 Control Algorithms and Procedures for IoRT Systems…”
Libro electrónico -
4040Publicado 2022Materias:Libro electrónico