- Modeling human performance in statistical word segmentation🔍
- Statistically optimal perception and learning🔍
- Statistical Learning of Parts and Wholes🔍
- The prevalence and importance of statistical learning in human ...🔍
- Constraints on Statistical Learning Across Species🔍
- Statistical Learning🔍
- What Is Machine Learning 🔍
- Machine learning🔍
Spike|based statistical learning explains human performance in non ...
Modeling human performance in statistical word segmentation
A rational analysis of rule-based concept learning. Cognitive Science ... Statistical learning of non-adjacent dependencies. Cognitive Psychology, 48 ...
Statistically optimal perception and learning: from behavior to neural ...
We review evidence for statistically optimal learning in humans and animals, and reevaluate possible neural representations of uncertainty based on their ...
Statistical Learning of Parts and Wholes: A Neural Network Approach
Bayesian approaches provide a principled description of how parts and wholes can contribute simultaneously to performance, but are generally not intended to ...
This research has highlighted that infants, children, adults — and in some cases non-human animals — possess the remarkable abil- ity to detect and represent ...
A similar approach has been taken to explain early learning of grammar with respect to similarities between human and nonhuman performance. Accord- ing to this ...
Statistical Learning | Oxford Research Encyclopedia of Psychology
Statistical learning refers to the ability to pick up on the statistical regularities in our sensory environment, typically without intention or conscious ...
What Is Machine Learning (ML)? - IBM
Machine learning (ML) is a branch of AI and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans ...
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from ...
Statistical learning of parts and wholes: A neural network approach.
Statistical learning is often considered to be a means of discovering the units of perception, such as words and objects, and representing them as explicit ...
Machine learning, explained | MIT Sloan
... humans would not be able to, Madry said. “It may not only be more ... Much of the technology behind self-driving cars is based on machine learning ...
Linguistic entrenchment: Prior knowledge impacts statistical learning ...
However, when this was tested by looking at correlations between individual performance across different SL tasks, the results consistently did not support ...
Knowledge of Statistics or Statistical Learning? Readers Prioritize ...
However, the model controlling for the effect of experimental block found no evidence for such learning: Whereas the effect of minBF was once again present (p = ...
Is there such a thing as a 'good statistical learner'? - Cell Press
This approach views statistical learning (SL) as a general individual ability that underlies performance across a range of cognitive domains.
s statistical about learning? Insights from modelling ... - Journals
They are not even useful for explaining all forms of conditional statistical learn- ... should be able to simulate human performance in statistical.
Unraveling the complex interplay between statistical learning and ...
Statistical learning is a basic cognitive process that enables individuals to detect and retain recurring distributional (e.g., frequency) and ...
Statistical Learning of Language: A Meta‐Analysis Into 25 ... - CDN
Modeling human performance in statis- tical word segmentation. Cognition ... Statistical learning of non-adjacent dependencies in a non-human primate.
Combining statistical learning with a knowledge{based approach
The paper describes a case study in combin- ing different methods for acquiring medical knowledge. Given a huge amount of noisy,.
Statistical Learning Theory: Principles and Applications - Medium
In the era of big data and artificial intelligence, the ability to learn from data has become a cornerstone of technological advancement.
The speed of detection vs. segmentation from continuous sequences
While the evidence for statistical learning effects is solid, the link between the pattern of effects (both empirical and simulated) and the ...
Statistical learning of distractor co-occurrences facilitates visual search
Across five online experiments (N = 1,140), we found that after a period of search training, participants were more efficient when searching for targets in ...