Katalog der Deutschen Nationalbibliothek

Neuigkeiten Servicezeiten in Frankfurt am Main ab 1. Dezember 2025: Montag bis Freitag 9–18 Uhr und Samstag 10–16 Uhr
Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00
 
Neuigkeiten Dienstag 9. Dezember 2025: Die Lesesäle der Deutschen Nationalbibliothek in Leipzig öffnen wegen einer Personalversammlung erst ab 13 Uhr. // Tuesday 9 December 2025: The reading rooms of the German National Library in Leipzig will open at 13:00 due to a staff assembly.
 
 

Ergebnis der Suche nach: i



Treffer 7 von 1324307 < < > <



Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1382782233
Titel AI 2025: Advances in Artificial Intelligence : 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Canberra, ACT, Australia, December 1–5, 2025, Proceedings, Part II / edited by Miaomiao Liu, Xin Yu, Chang Xu, Yiliao Song
Person(en) Liu, Miaomiao (Herausgeber)
Yu, Xin (Herausgeber)
Xu, Chang (Herausgeber)
Song, Yiliao (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2026
Verlag Singapore : Springer Nature Singapore, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2026
Umfang/Format Online-Ressource, XV, 521 p. 144 illus., 118 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-981-95-4971-9
Printed edition:: ISBN: 978-981-95-4973-3
Inhalt -- Learning Algorithms. -- Price Equilibrium Routing: A Lightweight Framework for Expert Selection in Mixture-of-Experts. -- Minimum Message Length t-test. -- Towards Scalable Backpropagation-Free Gradient Estimation. -- Coordinate-free k-means clustering. -- The Ensemble Kalman Update is an Empirical Matheron Update. -- Using Individual Problem Instances for Exploratory Black Box Optimisation Benchmarking: A Case Study Using XOR Neural Networks. -- On Knowledge-Informed Deep Learning for Modelling Complex Spatiotemporal Systems. -- Trajectory segmentation and self-supervised classification for subtask discovery. -- Computer Vision. -- NoPo3DFusion: Scaling Two Images to Long Videos via 3D-Aware Iterative Diffusion. -- Gaussian Alignment for Relative Camera Pose Estimation via Single-View Reconstruction. -- Street Depth-Aware Gaussian for Modeling Dynamic Urban Scenes. -- Paired Hierarchical VAEs for Image-to-Image Translation and Cross Reconstruction. -- When Language Model Guides Vision: Grounding DINO for Cattle Muzzle Detection. -- AFFT: Adapter-based Few-shot Fine-Tuning Framework for Remote Sensing Object Detection. -- Depth-aware Audio Visual Segmentation with Geometry-Heuristic Cross Attention. -- EyeDentify: A Deep Learning Approach to Non-Invasive Biometric Identification from Eye Blink Patterns. -- Augmentation and Transformation for Nighttime Cloud Segmentation in All-Sky Camera Images. -- Room Envelopes: A Synthetic Dataset for Indoor Layout Reconstruction from Images. -- PLNet-12: A Vision-Language Benchmark for Zero-Shot Physical Literacy Analysis Across 12 Fundamental Movements. -- TrashTracer: Enabling efficient real-time detection of underwater marine debris. -- AI for Healthcare. -- A-PriDiff: Anatomical Prior-Guided Conditional Diffusion for Ultrasound Spine Image Synthesis. -- MammoMix: Leveraging Mixture of Experts for Robust Mammogram Breast Detection. -- TripletResNet: A Deep Metric Learning Approach for mTBI Diagnosis from 3D CT. -- Efficient Craniofacial Microsomia Detection via Edge-focused 3D Point Cloud Network -- Privacy-Centric Seizure Detection Using Surface Normals, Pose and Segmentation Masks. -- An Explainable Graph Learning Framework for Severe Maternal Morbidity Prediction. -- Personalized Federated Graph Learning for Heterogeneous Incomplete EHRs. -- Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-efficient Psychiatric Diagnosis. -- Reinforcement Learning and Robotics. -- Evolving MCTS Macro-Actions in Real-Time Domains. -- A Hybrid Multi-Agent Reinforcement Learning Framework for Decentralised Search-And-Interact Tasks Under Partial Observability. -- Synergistic MARL: Unifying Physics-Informed, Meta Learning, and Hybrid Learning to Outperform Communication-Based Coordination. -- Guardrail Guided Policy Optimisation: Learning Disentangled Safety Constraints. -- The Consensus Paradox: When Low Disagreement Leads to Catastrophic Failure in Multi-Teacher Reinforcement Learning. -- Towards Search Node-Specific HTN Heuristics. -- Planner-Independent Extraction of Goals and Constraints from Natural Language for Open-World Mobile Robot Missions. -- PERCY: Personal Emotional Robotic Conversational System. -- Understanding Human Situation Awareness in One-to-Many Human-Robot Interaction Scenarios. -- Learning Preferences in Additive Separable Hedonic Project Games. -- Policy Gradient–Based Reinforcement Weighted Aggregation for Efficient Federated Learning on Heterogeneous Data
Persistent Identifier URN: urn:nbn:de:101:1-2511270306055.733886386457
DOI: 10.1007/978-981-95-4972-6
URL https://doi.org/10.1007/978-981-95-4972-6
ISBN/Einband/Preis 978-981-95-4972-6
Sprache(n) Englisch (eng)
Beziehungen Lecture Notes in Artificial Intelligence ; 16371
DDC-Notation 006.3 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 004 Informatik

Online-Zugriff Archivobjekt öffnen




Treffer 7 von 1324307
< < > <


E-Mail-IconAdministration