Zhou xiangmin (21 resultados)

Condición: New.

Condición: New.

Paperback. Condición: new. Paperback. The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 1013, 2025.The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 1013, 2025.The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10 13, 2025.The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models.…

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10 13, 2025.The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models.…

Paperback. Condición: Brand New. 500 pages. 9.26x6.11x9.21 inches. In Stock.

Taschenbuch. Condición: Neu. Data Science: Foundations and Applications | 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VII | Xintao Wu (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxx | Englisch | 2025 | Springer | EAN 9789819682973 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Condición: new. Paperback. The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 1013, 2025.The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condición: new. Paperback. The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 1013, 2025.The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condición: new. Questo è un articolo print on demand.

Condición: new. Questo è un articolo print on demand.

Paperback. Condición: Brand New. 500 pages. 9.26x6.11x9.21 inches. In Stock. This item is printed on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10 13, 2025.The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models. 472 pp. Englisch. …

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10 13, 2025.The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models. 504 pp. Englisch. …

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -.- Survey Track.- Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions.- A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping.- A Survey of Foundation Models for Environmental Science.- A Survey on Efficient Graph Reachability Queries.- Machine Learning.- Disentangled Representation Learning for Geospatial-temporal Data Modeling.- Treatment Effect Estimation for Graph-Structured Targets.- Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies.- The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions.- Fed-ARIMA-OPARBFN: An Ensemble Model for Cross-Domain Crop Yield Time Series Prediction Based on Federated Learning.- S-CPD: Topological Smoothing-Based Change Point Detection.- VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces.- Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning.- PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting.- Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers.- CNO-former: Chaotic Neural Oscillatory Transformer for Social Media Text Generation.- Multilingual Non-Factoid Question Answering with Answer Paragraph Selection.- Turning Uncertainty to Information by Intervals in Ensemble Classifiers.- Determining the Need for Multi-Label Classifiers by Measuring Unexplained Covariance.- Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics.- Trustworthiness.- Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders.- Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection.- Defence Against Multi-target Multi-trigger Backdoor Attack.- How to Backdoor Consistency Models .- Multi-granularity Policy Explanation of Deep Reinforcement Learning Based on Saliency Map Clustering.- FACROC: A Fairness Measure for Fair Clustering Through ROC Curves.- Learning on Complex Data.- Action Sequence Analysis Using Temporal Commonsense Knowledge.- Foundation Model for Lossy Compression of Spatiotemporal Scientific Data.- CANTER: A Novel Causal Model for Tourism Demand Forecasting.- Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion.- Adaptive Extraction of Variable-Length Subsequence Patterns in Noisy Time Series.- Hunting Inside N-Quantiles of Outliers (Hino).- Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions.- ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton.- Offline Map Matching Based on Localization Error Distribution Modeling.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 504 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -.- Graph Mining.- MuCo-KGC: Multi-Context-Aware Knowledge Graph Completion.- Tensor-Fused Multi-View Graph Contrastive Learning.- FOG: Interpretable Feature-Oriented Graph Neural Networks for Tabular Data Prediction.- High Resolution Image Classification with Rich Text Information Based on Graph Convolution Neural Network.- Time Interval Aware Graph Neural Networks for Session-Based Recommendation.- SSGNN: Structure-aware Scoring Graph Neural Network for Molecular Representation.- Mint: An Efficient and Robust In-Place Update Approach for Graph-based Vector Index.- Machine Learning Applications.- Advancing Comprehensive Aspect-Based Sentiment Analysis with Generative Models.- A Systematic Evaluation of Generative Models on Tabular Transportation Data.- SDF-Guided Multi-modal Big Data Road Extraction.- Player Movement Predictions Using Team and Opponent Dynamics for Doubles Badminton.- Representation Learning.- Late Fusion Ensembles for Speech Recognition on Diverse Input Audio Representations.- Text Enhancement-based Multimodal Fusion for Video Sentiment Analysis.- Advancing Rubric-based Automated Essay Scoring with Multi-View BERT: A Case Study in New Zealand.- A Script Event Prediction Method Based on Multi-Level Joint Pretraining and Prompt Fine-Tuning.- Scientific/Business Data Analysis.- A Multimodal Fusion Model Leveraging MLP Mixer and Handcrafted Features-based Deep Learning Networks for Facial Palsy Detection.- Using Pseudo-Synonyms to Generate Embeddings for Clinical Terms.- Corporate Carbon Emission Prediction: Combining Structured and Unstructured Data.- GDCK: Efficient Large-Scale Graph Distillation utilizing a Model-free Kernelized Approach.- Efficient DNA fragment assembly based on Discrete Slime Mould Algorithm.- Multi-Scale Control Model for Network Group Behavior.- Can Self Supervision Rejuvenate Similarity-Based Link Prediction .- Managing Data Uncertainty in Automatic Mapping of Clinical Classification Systems.- Insomnia Detection Based on Brain State Sleep Trajectories.- MCA: Multimodal Contrastive Augmentation for Medical Report Generation.- Special Track on Large Language Models.-Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection.- Bot Wars Evolved: Orchestrating Competing LLMs in a Counterstrike Against Phone Scams.- Large Language Models with Multi-Faceted Relation Alignment for User Novel Interest Discovery.- Estimating Impact of Behavior Change Messages Using Large Language Models.- A Meta-Thinking Approach to Mitigating Linguistic Sycophancy in Vision-Language Models.- VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models.- TRAWL: Tensor Reduced and Approximated Weights for Large Language Models.- DAG-Think-Twice: Causal Structure Guided Elicitation of Causal Reasoning in Large Language Model.- GRL-Prompt: Towards Prompts Optimization via Graph-empowered Reinforcement Learning using LLMs' Feedback.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 472 pp. Englisch.…