Results 11 to 20 of about 405,223 (268)

A theory of universal learning [PDF]

Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021
How quickly can a given class of concepts be learned from examples? It is common to measure the performance of a supervised machine learning algorithm by plotting its "learning curve", that is, the decay of the error rate as a function of the number of training examples.
Olivier Bousquet, Steve Hanneke, Shay Moran, Ramon van Handel, Amir Yehudayoff   +4 more
openaire   +3 more sources

A learning theory of meta learning. [PDF]

Natl Sci Rev
This paper gives a brief introduction to recent theoretical advance of meta learning.
Yao F.
europepmc   +3 more sources

A Theory of Subjective Learning [PDF]

SSRN Electronic Journal, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David Dillenberger, Juan Sebastián Lleras, Philipp Sadowski, Norio Takeoka   +3 more
openaire   +4 more sources

Learning a theory of causality. [PDF]

Psychological Review, 2011
The very early appearance of abstract knowledge is often taken as evidence for innateness. We explore the relative learning speeds of abstract and specific knowledge within a Bayesian framework and the role for innate structure. We focus on knowledge about causality, seen as a domain-general intuitive theory, and ask whether this knowledge can be ...
Goodman, Noah, Tenenbaum, Joshua, Ullman, Tomer   +2 more
openaire   +5 more sources

Thresholding in Learning Theory [PDF]

Constructive Approximation, 2007
In this paper we investigate the problem of learning an unknown bounded function. We be emphasize special cases where it is possible to provide very simple (in terms of computation) estimates enjoying in addition the property of being universal : their construction does not depend on a priori knowledge on regularity conditions on the unknown object and
Kerkyacharian, G., Picard, D.
openaire   +3 more sources

Spanish Version of the Teachers’ Sense of Efficacy Scale: An Adaptation and Validation Study

Frontiers in Psychology, 2021
The Teachers’ Sense of Efficacy Scale (TSES) has been the most widely used instrument to assess teacher efficacy beliefs. However, no study has been carried out concerning the TSES psychometric properties with teachers in Mexico, the country with the ...
Fátima Salas-Rodríguez, Sonia Lara, Martín Martínez   +2 more
doaj   +1 more source

Credal Learning Theory [PDF]

Advances in Neural Information Processing Systems 37
30 pages, 2 ...
Cuzzolin, Fabio, Caprio, Michele, Sultana, Maryam, Elia, Eleni   +3 more
openaire   +6 more sources

A theory of learning to infer. [PDF]

Psychological Review, 2019
Abstract Bayesian theories of cognition assume that people can integrate probabilities rationally. However, several empirical findings contradict this proposition: human probabilistic inferences are prone to systematic deviations from optimality.
Dasgupta, Ishita, Schulz, Eric, Tenenbaum, Joshua B, Gershman, Samuel J   +3 more
openaire   +4 more sources

Individualized Target Training Facilitated Transfer of Group Housed Capuchin Monkeys (Sapajus apella) to Test Cubicles and Discrimination of Targets on Computer Touch Screens

Animals, 2021
Animals in captivity often experience fear, anxiety and aggression during non-voluntary procedures, leading to adverse behaviors and ineffective outcomes for both animals and caretakers.
Sabrina Brando, Lillian Basom, Meredith Bashaw, Caitlin Druyor, Ellen Fonte, Roger Thompson   +5 more
doaj   +1 more source

COVID-19: Data-Driven Mean-Field-Type Game Perspective

Games, 2020
In this article, a class of mean-field-type games with discrete-continuous state spaces is considered. We establish Bellman systems which provide sufficiency conditions for mean-field-type equilibria in state-and-mean-field-type feedback form.
Hamidou Tembine
doaj   +1 more source