73 Neuzugänge
Klassifikation
Schliessen
Filter
2

zu den Filteroptionen

vom 14.7.2021
Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child Affetto
Queißer, Jeffrey ; Ishihara, Hisashi ; Hammer, Barbara ; Steil, Jochen J. ; Asada, Minoru
2018
Sequential Feature Classification in the Context of Redundancies
Pfannschmidt, Lukas ; Hammer, Barbara
2020
Self-Adjusting Memory: How to Deal with Diverse Drift Types
Losing, Viktor ; Hammer, Barbara ; Wersing, Heiko
2017
Rejection and online learning with prototype-based classifiers in adaptive metrical spaces
Fischer, Lydia
2016
Personalized Maneuver Prediction at Intersections
Losing, Viktor ; Hammer, Barbara ; Wersing, Heiko
2017
Parametric nonlinear dimensionality reduction using kernel t-SNE
Gisbrecht, Andrej ; Schulz, Alexander ; Hammer, Barbara
In: Neurocomputing, Jg. 147, S. 71-82
2015
Non-negative Kernel Sparse Coding Frameworks for Efficient Analysis of Motion Data
Hosseini, Babak ; Hammer, Barbara
2017
Non-Negative Kernel Sparse Coding for the Analysis of Motion Data
Hosseini, Babak ; Hülsmann, Felix ; Botsch, Mario ; Hammer, Barbara ; E.P. Villa, Alessandro (Hrsg.) ; Masulli, Paolo (Hrsg.) ; Javier Pons Rivero, Antonio (Hrsg.)
In: Artificial Neural Networks and Machine Learning – ICANN 2016, Jg. 9887, S. 506-514
2016
New Prototype Concepts in Classification Learning
Saralajew, Sascha
2020
Multi-modal Skill Memories for Online Learning of Interactive Robot Movement Generation
Queißer, Jeffrey
2018
Mitigating Concept Drift via Rejection
Göpfert, Jan Philip ; Hammer, Barbara ; Wersing, Heiko ; Kurkova, Vera (Hrsg.) ; Manolopoulos, Yannis (Hrsg.) ; Hammer, Barbara (Hrsg.) ; Iliadis, Lazaros (Hrsg.) ; Maglogiannis, Ilias (Hrsg.)
In: Artificial Neural Networks and Machine Learning – ICANN 2018. Proceedings, Part I, Jg. 11139
2018
Metric Learning for Structured Data
Paaßen, Benjamin
2019
Metric learning for sequences in relational LVQ
Mokbel, Bassam ; Paaßen, Benjamin ; Schleif, Frank-Michael ; Hammer, Barbara
In: Neurocomputing, Jg. 169 H. SI, S. 306-322
2015
Memory Models for Incremental Learning Architectures
Losing, Viktor
2019
Lecture Notes on Applied Optimization
Paaßen, Benjamin ; Artelt, André ; Hammer, Barbara
2019
Learning vector quantization for proximity data
Hofmann, Daniela
2016
Learning Feedback in Intelligent Tutoring Systems
Gross, Sebastian ; Mokbel, Bassam ; Hammer, Barbara ; Pinkwart, Niels
In: KI - Künstliche Intelligenz, Jg. 29 H. 4, S. 1-6
2015
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
Losing, Viktor ; Hammer, Barbara ; Wersing, Heiko
2016
Interpretation of Linear Classifiers by Means of Feature Relevance Bounds
Göpfert, Christina ; Pfannschmidt, Lukas ; Göpfert, Jan Philip ; Hammer, Barbara
In: Neurocomputing, Jg. 298, S. 69-79
2018
Interactive Online Learning for Obstacle Classification on a Mobile Robot
Losing, Viktor ; Hammer, Barbara ; Wersing, Heiko
2015
Gehe zu Seiten

Detailsuche

Bibliotheken

Projekt

Impressum

Datenschutz

73 Neuzugänge
Klassifikation
Schliessen
Filter
2

Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child Affetto

Sequential Feature Classification in the Context of Redundancies

Self-Adjusting Memory: How to Deal with Diverse Drift Types

Rejection and online learning with prototype-based classifiers in adaptive metrical spaces

Personalized Maneuver Prediction at Intersections

Parametric nonlinear dimensionality reduction using kernel t-SNE

Non-negative Kernel Sparse Coding Frameworks for Efficient Analysis of Motion Data

Non-Negative Kernel Sparse Coding for the Analysis of Motion Data

New Prototype Concepts in Classification Learning

Multi-modal Skill Memories for Online Learning of Interactive Robot Movement Generation

Mitigating Concept Drift via Rejection

Metric Learning for Structured Data

Metric learning for sequences in relational LVQ

Memory Models for Incremental Learning Architectures

Lecture Notes on Applied Optimization

Learning vector quantization for proximity data

Learning Feedback in Intelligent Tutoring Systems

KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift

Interpretation of Linear Classifiers by Means of Feature Relevance Bounds

Interactive Online Learning for Obstacle Classification on a Mobile Robot

73 Neuzugänge KlassifikationSchliessenFilter2

73 Neuzugänge
Klassifikation
Schliessen
Filter
2