Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juli 2025
Genre:	Naturwissensch., Medizin, Technik
	angewandte informatik / Computational Intelligence / Computer and Information Systems Applications / Computer Communication Networks / Evolutionary Computing and Learning / Image processing / Information Security / machine learning / Maschinelles Lernen / Netzwerk-Hardware / Neural Networks / pattern recognition / Signal Processing / Swarm Intelligence and Optimization mehr...
ISBN:	9789819500192
EAN-Code:	9789819500192
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Seiten:	521
Illustration:	XX, 521 p. 171 illus., 142 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

.- Natural Language Processing and Computational Linguistics. .- Mongolian Multimodal Sentiment Analysis Based on Multi-Level Attention and Convolution-Enhanced Fusion. .- Research on joint extraction of Chinese diabetes entity relations based on hybrid attention and hierarchical network. .- SSC-SQL: A Text-to-SQL Generation Framework with Multi-Process Collaboration. .- CoT Reasoning-Based Content Adaptation and Image Generation for Chinese Poetry. .- Self-Attentive CycleGAN for Damaged Khitan Script Reconstruction. .- A Hierarchical Prompt-Enhanced Mix-up Model with Graph Attention Networks for Academic Text Classification. .- Dynamic Neural Transfer for Domain-Level Zero-Shot Cognitive Diagnosis. .- Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights and Limitations. .- LENS-RMHR: Enhancing Telecom Fraud Detection with Large Language Model Neuron Selection. .- GeneralCI: Do LLMs Have the Generalization Ability in Conducting Causal Inference. .- Multimodal Sentiment Analysis of Mongolian Language Based on Gated Transformer and Adaptive Hyper-modality. .- Towards a Concise Benchmark for Security Risk Evaluation in Large Language Models. .- Personalized Prompt Attack Strategies Against Large Language Models. .- MACCISA: A Multimodal Commonsense Knowledge Aware Model for Counterfactual Implicit Sentiment Analysis. .- Concept-Guided Persona Perception with Commonsense Reasoning for Personalized Dialogue Generation. .- Self-Distillation Model for Emotion Recognition with Cross-Modal Interaction and Graph Neural Networks. .- Talk the Talk, Debate the Bias: LLM Alignment via Role-Play Rumble. .- BERT-CHAB: Hierarchical Context Fusion with Adaptive Boundary Detection for Robust Chinese Named Entity Recognition in Noisy Social Media. .- Personalized Emotion Prediction Using Instruction-Tuned Large Language Models. .- BiCoT: Enhancing Large Language Model Reasoning Through Bidirectional Correction of Thought. .- MAF-CPR: LLM-Based Multi-Agent Framework for Complex Pull Request Review in GitHub. .- Definition Modeling for WSD and Semantic Perplexity-BERT Composite Score (SPBS). .- Syntax and Semantic Dual-Enhanced Chinese Named Entity Recognition. .- Improve Question Generation via Dual Perspective Key Phrase Selection. .- OptiACL: Optimized Anchor Contrastive Learning Framework for Multimodal Conversational Emotion Recognition. .- Implicit Validation Inference for Few-shot Named Entity Recognition. .- Token Memory Transformer with Infinite Context. .- FrameNet and Multiway Attention for Chinese Event Argument Extraction. .- CoT-NER: A Reasoning Method via Chain of Thought for Chinese Named Entity Recognition. .- Optimizing Knowledge Graph Reasoning via Global Relation Pruning with LLMs. .- Document-level Relation Extraction with Retrieval-Augmented. .- SARGAT: A Relation-Typed Graph Attention Network with Sentiment Distance-Aware Attention for Aspect-Based Sentiment Analysis. .- HierDaC: Detecting Long-Text Misinformation via Hierarchical Divide-and-Conquer. .- Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pretrained Priors. .- UOS-FSNER: Unified One-stage Few-shot Named Entity Recognition. .- HealthBridge: A Cross-lingual Clustering Framework for English-Chinese Health News. .- MedLite: a lightweight medical multimodal model based on knowledge distillation and inference optimization. .- Do Not Say It Directly: Generating Indirect Expressions with Large Language Models. .- ME-CWNER: Multi-metadata Embedding based Chinese Named Entity Recognition for Wheat Diseases and Pests. .- Join Social and Temporal Information for Rumor Detection. .- Advancing Low-Resource Machine Translation: A Unified Data Selection