Results 11 to 20 of about 2,106,201 (244)
Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning [PDF]
Sensors, 2021 Dexterous manipulation of the robot is an important part of realizing intelligence, but manipulators can only perform simple tasks such as sorting and packing in a structured environment. In view of the existing problem, this paper presents a state-of-the-art survey on an intelligent robot with the capability of autonomous deciding and learning.
Jiang Hua +3 more
openaire +4 more sources
Meta Learning via Learned Loss [PDF]
2020 25th International Conference on Pattern Recognition (ICPR), 2021 Project website with code and video at https://sites.google.com/view ...
Bechtle, Sarah +6 more
openaire +3 more sources
Cognitive Science, 2023 AbstractHumans can learn complex functional relationships between variables from small amounts of data. In doing so, they draw on prior expectations about the form of these relationships. In three experiments, we show that people learn to adjust these expectations through experience, learning about the likely forms of the functions they will encounter.
Michael Y, Li +4 more
openaire +2 more sources
Learning objects, learning objectives and learning design [PDF]
Innovations in Education and Teaching International, 2008 Educational research and development into e-learning mainly focuses on the inclusion of new technological features without taking into account psycho-pedagogical concerns that are likely to improve a learner's cognitive process in this new educational category.
Fernando Alonso +3 more
openaire +2 more sources
Neuromorphic Hardware Learns to Learn [PDF]
Frontiers in Neuroscience, 2019 Hyperparameters and learning algorithms for neuromorphic hardware are usually chosen by hand. In contrast, the hyperparameters and learning algorithms of networks of neurons in the brain, which they aim to emulate, have been optimized through extensive evolutionary and developmental processes for specific ranges of computing and learning tasks ...
Bohnstingl, Thomas +4 more
openaire +4 more sources
, 2021 We consider reservoirs in the form of liquid state machines, i.e., recurrently connected networks of spiking neurons with randomly chosen weights. So far only the weights of a linear readout were adapted for a specific task. We wondered whether the performance of liquid state machines can be improved if the recurrent weights are chosen with a purpose ...
Subramoney, Anand +2 more
openaire +3 more sources
Quantum Learning: Learn Without Learning
International Business & Economics Research Journal (IBER), 2011 Quantum Education is the natural way to learn---motivating and exciting people to take responsibility for their own education.. The Montessori Model represents the closest example of Quantum Education, where the environment is prepared with didactic materials for the children to absorb at their own pace.
Victor Selman +2 more
openaire +2 more sources
Frontiers in Behavioral Neuroscience, 2009 The origin of altruism remains one of the most enduring puzzles of human behaviour. Indeed, true altruism is often thought either not to exist, or to arise merely as a miscalculation of otherwise selfish behaviour. In this paper, we argue that altruism emerges directly from the way in which distinct human decision-making systems learn about rewards ...
Ben Seymour +3 more
openaire +5 more sources
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing
FEBS Letters, EarlyView.Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley +1 more source