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Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals
Related publications (52)
Robust Distributed Learning and Robust Learning Machines (Research Statement)
Whether it occurs in artificial or biological substrates, {\it learning} is a {distributed} phenomenon in at least two aspects. First, meaningful data and experiences are rarely found in one location, hence {\it learners} have a strong incentive to work to ...
2019On the Use of Gaze as a Measure for Performance in a Visual Exploration Task
Pierre Dillenbourg, Jennifer Kaitlyn Olsen, Catharine Regina Monika Maria Oertel Genannt Bierbach
Visual exploration skill acquisition is important for many vocational professions, yet many apprentices struggle to acquire these skills, impacting both their grades and practical work. Traditionally, the learning of visual skills is facilitated through ex ...
Springer2019On the Use of Gaze as a Measure for Performance in a Visual Exploration Task
Pierre Dillenbourg, Jennifer Kaitlyn Olsen, Catharine Regina Monika Maria Oertel Genannt Bierbach
Visual exploration skill acquisition is important for many vocational professions, yet many apprentices struggle to acquire these skills, impacting both their grades and practical work. Traditionally, the learning of visual skills is facilitated through ex ...
SPRINGER INTERNATIONAL PUBLISHING AG2019Learning Approach to Delineation of Curvilinear Structures in 2D and 3D Images
Detection of curvilinear structures has long been of interest due to its wide range of applications. Large amounts of imaging data could be readily used in many fields, but it is practically not possible to analyze them manually. Hence, the need for automa ...
EPFL2019Theory and Algorithms for Hypothesis Transfer Learning
The design and analysis of machine learning algorithms typically considers the problem of learning on a single task, and the nature of learning in such scenario is well explored. On the other hand, very often tasks faced by machine learning systems arrive ...
EPFL2018About specific and general factors for visual illusions
Michael Herzog, Aline Françoise Cretenoud, Gregory Francis, Lukasz Grzeczkowski
Contrary to studies of audition and cognition, we previously did not find evidence for a general common factor for vision but for many very specific ones. For example, we found strong correlations between 19 versions of the Ebbinghaus illusion, which diffe ...
2018Evidence for eligibility traces in human learning
Michael Herzog, Wulfram Gerstner, Kerstin Preuschoff, Marco Philipp Lehmann, He Xu, Vasiliki Liakoni
Whether we prepare a coffee or navigate to a shop: in many tasks we make multiple decisions before reaching a goal. Learning such state-action sequences from sparse reward raises the problem of credit-assignment: which actions out of a long sequence should ...
arXiv2017Unsupervised Learning of Phase-Change-Based Neuromorphic Systems
Neuromorphic systems provide brain-inspired methods of computing. In a neuromorphic architecture, inputs are processed by a network of neurons receiving operands through synaptic interconnections, tuned in the process of learning. Neurons act simultaneousl ...
EPFL2017Learning Recruits Neurons Representing Previously Established Associations in the Corvid Endbrain
Crows quickly learn arbitrary associations. As a neuronal correlate of this behavior, single neurons in the corvid endbrain area nidopallium caudolaterale (NCL) change their response properties during association learning. In crows performing a delayed ass ...
Mit Press2017What is new in perceptual learning?
Michael Herzog, Aline Françoise Cretenoud, Lukasz Grzeczkowski
What is new in perceptual learning? In the early days of research, specificity was the hallmark of perceptual learning; that is, improvements following training were limited to the trained stimulus features. For example, training with a stimulus improves p ...
Association for Research in Vision and Ophthalmology (ARVO)2017