Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models [PDF]
The problem of acquiring multiple tasks from demonstration is typi- cally divided in two sequential processes: (1) the segmentation or identification of different subgoals/subtasks and (2) a separate learning process that parameterizes a control policy ...
Billard, Aude, Medina, Jose R.
core +1 more source
A reaction network scheme for hidden Markov model parameter learning. [PDF]
J R Soc Interface, 2023 Wiuf C +3 more
europepmc +1 more source
Parameter-Efficient Transfer Learning for NLP
CoRR, 2019 Fine-tuning large pre-trained models is an effective transfer mechanism in NLP. However, in the presence of many downstream tasks, fine-tuning is parameter inefficient: an entire new model is required for every task. As an alternative, we propose transfer with adapter modules.
Neil Houlsby +7 more
openaire +3 more sources
White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian +8 more
wiley +1 more source
Situated Poetry Learning Using Multimedia Resource Sharing Approach
, 2013 [[abstract]]Educators have emphasized the importance of situating students in an authentic learning environment. By using such approach, teachers can encourage students to learn Chinese poems by browsing content resources and relevant online multimedia ...
core
Pengembangan E-Modul Interaktif pada Materi Gelombang Bunyi Berbasis Problem Based Learning [PDF]
This study aims to develop an interactive e-module based on problem-based learning for teaching physics, specifically focusing on sound waves. The research method employed is Research and Development (R&D) utilizing a modified 4D development model ...
Ziveria, Mira +3 more
core +1 more source
智能科学与技术学报, 2022 In multi-agent reinforcement learning, parameter sharing can effectively alleviate the inefficiency of learning caused by non-stationarity.However, maintaining the same policy forall agents during learning may have detrimental effects.To solve this ...
Han WANG, Yang YU, Yuan JIANG
doaj
Structural Changes in Nonlocal Denoising Models Arising Through Bi-Level Parameter Learning. [PDF]
Appl Math Optim, 2023 Davoli E +3 more
europepmc +1 more source
Learning Probabilistic Ontologies with Distributed Parameter Learning. [PDF]
, 2015 We consider the problem of learning both the structure and the parameters of Probabilistic Description Logics under DISPONTE. DISPONTE (DIstribution Semantics for Probabilistic ONTologiEs) adapts the distribution semantics for Probabilistic Logic Programming to Description Logics.
COTA, Giuseppe +4 more
openaire +2 more sources
Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs +7 more
wiley +1 more source