Neural Information Processing: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part III: Lecture Notes in Computer Science, cartea 11955
Editat de Tom Gedeon, Kok Wai Wong, Minho Leeen Limba Engleză Paperback – 11 dec 2019
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (5) | 343.79 lei 6-8 săpt. | |
Springer International Publishing – 11 dec 2019 | 343.79 lei 6-8 săpt. | |
Springer International Publishing – 11 dec 2019 | 346.72 lei 6-8 săpt. | |
Springer International Publishing – 13 dec 2019 | 350.10 lei 6-8 săpt. | |
Springer International Publishing – 7 dec 2019 | 657.12 lei 6-8 săpt. | |
Springer International Publishing – 6 dec 2019 | 657.63 lei 6-8 săpt. |
Din seria Lecture Notes in Computer Science
- 20% Preț: 1040.03 lei
- 20% Preț: 333.46 lei
- 20% Preț: 335.08 lei
- 20% Preț: 444.17 lei
- 20% Preț: 238.01 lei
- 20% Preț: 333.46 lei
- 20% Preț: 438.69 lei
- Preț: 440.52 lei
- 20% Preț: 336.71 lei
- 20% Preț: 148.66 lei
- 20% Preț: 310.26 lei
- 20% Preț: 256.27 lei
- 20% Preț: 632.22 lei
- 17% Preț: 427.22 lei
- 20% Preț: 641.78 lei
- 20% Preț: 307.71 lei
- 20% Preț: 1053.45 lei
- 20% Preț: 579.56 lei
- Preț: 373.56 lei
- 20% Preț: 330.23 lei
- 15% Preț: 429.74 lei
- 20% Preț: 607.39 lei
- 20% Preț: 538.29 lei
- Preț: 389.48 lei
- 20% Preț: 326.98 lei
- 20% Preț: 1386.07 lei
- 20% Preț: 1003.66 lei
- 20% Preț: 567.60 lei
- 20% Preț: 575.48 lei
- 20% Preț: 571.63 lei
- 20% Preț: 747.79 lei
- 15% Preț: 568.74 lei
- 17% Preț: 360.19 lei
- 20% Preț: 504.57 lei
- 20% Preț: 172.69 lei
- 20% Preț: 369.12 lei
- 20% Preț: 346.40 lei
- 20% Preț: 574.05 lei
- Preț: 402.62 lei
- 20% Preț: 584.40 lei
- 20% Preț: 747.79 lei
- 20% Preț: 809.19 lei
- 20% Preț: 649.49 lei
- 20% Preț: 343.16 lei
- 20% Preț: 309.90 lei
- 20% Preț: 122.89 lei
Preț: 343.79 lei
Preț vechi: 429.74 lei
-20% Nou
Puncte Express: 516
Preț estimativ în valută:
65.80€ • 68.40$ • 54.51£
65.80€ • 68.40$ • 54.51£
Carte tipărită la comandă
Livrare economică 05-19 februarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783030367176
ISBN-10: 3030367177
Pagini: 649
Ilustrații: XXI, 649 p. 302 illus., 144 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.93 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
ISBN-10: 3030367177
Pagini: 649
Ilustrații: XXI, 649 p. 302 illus., 144 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.93 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
Cuprins
Semantic and Graph Based Approaches.- GL2vec: Graph Embedding Enriched by Line graphs with Edge Features.- Joint Semantic Hashing using Deep Supervised and Unsupervised Methods.- Label-Based Deep Semantic Hashing for Cross-Modal Retrieval.- HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendation.- Embedding and Predicting Software Security Entity Relationships: A Knowledge Graph Based Approach.- SACIC: A Semantics-aware Convolutional Image Captioner using Multi-Level Pervasive Attention.- One Analog Neuron Cannot Recognize Deterministic Context-Free Languages.- Tag-based Semantic Features for Scene Image Classification.- Integrating TM Knowledge into NMT with Double Chain Graph.- Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure.- Visualizing Readable Instance Graphs of Ontology with Memo Graph.- Spiking Neuron and Related Models.- Hippocampus Segmentation in MRI Using Side U-Net Model.- AutoMLfor DenseNet Compression.- Mechanisms of Reward-Modulated STDP and Winner-Take-All in Bayesian Spiking Decision-Making Circuit.- Homeostasis-based CNN-to-SNN Conversion of Inception and Residual Architectures.- Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation.- Deep learning of EEG Data in the NeuCube Brain-inspired Spiking Neutral Network Architecture for a Better Understanding of Depression.- Text Computing Using Neural Techniques.- Watch and Ask: Video Question Generation.- Multi-Perspective Denoising Reader for Multi-Paragraph Reading Comprehension.- Models in the Wild: On Corruption Robustness of Neural NLP Systems.- Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization.- Target-Based Attention Model for Aspect-Level Sentiment Analysis.- Keyphrase Generation with Word Attention.- Dynamic Neural Language Models.- A Fast Convolutional Self-attention Based Speech Dereverberation Method forRobust Speech Recognition.- Option Attentive Capsule Network for Multi-choice Reading Comprehension.- Exploring and Identifying Malicious Sites in Dark Web Using Machine Learning.- Paragraph-Level Hierarchical Neural Machine Translation.- Residual Connection-based Multi-step Reasoning via Commonsense Knowledge for Multiple Choice Machine Reading Comprehension.- Zero-Shot Transfer Learning Based on Visual and Textual Resemblance.- Morphological Knowledge Guided Mongolian Constituent Parsing.- BERT based Hierarchical Sequence Classification for Context-aware Microblog Sentiment Analysis.- Topic Aware Context Modelling for Conversation Response Generation.- What a Dialogue! A Deep Neural Framework for Contextual Affect Detection.- Improving student forum responsiveness: Detecting Duplicate Questions in Educational Forums.- Time-series and Related Models.- On Probability Calibration of Recurrent Text Recognition Network.- On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining.- Deep Hybrid Spatiotemporal networks for Continuous Pain Intensity Estimation.- Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology.- Deep Point-wise Prediction for Action Temporal Proposal.- Real-time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine.- Deep Spatial-Temporal Field for Human Head Orientation Estimation.- Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People.- Teacher-Student Learning and Post-Processing for Robust BiLSTM Mask-Based Acoustic Beamforming.- Maxout into MDLSTM for offline Arabic handwriting recognition.- Unsupervised Neural Models.- Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization.- Distance estimation for Quantum Prototypes based Clustering.- Accelerating Bag-of-Words with SOM.- A Deep Clustering-Guide Learning for Unsupervised Person Re-identification.- Semi-Supervised Deep Learning Using Unsupervised Discriminant Projection.- Unsupervised pre-training of the brain connectivity dynamic using residual D-net.- Clustering Ensemble Selection with Determinantal Point Processes.- Generative Histogram-based Model using Unsupervised Learning.