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Maschinelles Lernen
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keywords:("Maschinelles Lernen")
Pattern recognition for nondestructive evaluation
Combat vehicle classification using machine learning
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
UUV teams, control from a biological perspective
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Unconstrained licence plate and text localization and recognition
Tensor Voting : A Perceptual Organization Approach to Computer Vision and Machine Learning
Extraction of Main Urban Roads from High Resolution Satellite Images by Machine Learning
Urban traffic control based on learning agents
Surface EMG for Force Control of Mechanical Hands
Kernel regression for travel time estimation via convex optimization
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Clustering sensor data for autonomous terrain identification using time-dependency
Prediction of finger movements using ultrasound images
Evolutionary Computation Methods for Helicopter Loads Estimation
An architectural framework for self-configuration and self-improvement at runtime
Adhering to Terrain Characteristics for Position Estimation of Mobile Robots
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
A methodology for photometric validation in vehicles visual interactive systems
Automatic Geographic Enrichment by Multi-modal Bike Sensing
Modeling time-of-day car use behavior: A Bayesian network approach
Data-driven train set crash dynamics simulation
Data-driven train set crash dynamics simulation
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Computational methods for cognitive and cooperative robotics
Learning continuous human-robot interactions from human-human demonstrations
A data-driven dynamics simulation framework for railway vehicles
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Machine learning estimates of plug-in hybrid electric vehicle utility factors
A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets
Machine learning approaches for detection of robot errors in human brain signals
Combining learning and structure for robotic manipulation
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Machine learning approach to ship fuel consumption: A case of container vessel
The Causality for Climate Challenge
Learning efficient haptic shape exploration with a rigid tactile sensor array
Potential of machine learning for prediction of traffic related air pollution