99,039 results for do

ui.adsabs.harvard.edu/abs/2015Natur.518..529M

Human-level control through deep reinforcement learning - ADS

The theory of reinforcement learning provides a normative account, deeply rooted in psychological and neuroscientific perspectives on animal behaviour, of how agents may optimize their control of an environment. To use reinforcement learning successfully in si…

www.ncbi.nlm.nih.gov/pubmed/26017442

Deep learning

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object r…

www.ncbi.nlm.nih.gov/pubmed/25719670

Human-level control through deep reinforcement learning - PubMed

The theory of reinforcement learning provides a normative account, deeply rooted in psychological and neuroscientific perspectives on animal behaviour, of how agents may optimize their control of an environment. To use reinforcement learning successfully in si…

www.ncbi.nlm.nih.gov/pubmed/34265844

Highly accurate protein structure prediction with AlphaFold

Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort<sup>1-4</sup>, the structures of around 100,000 unique proteins have been determined<sup>5</…

www.ncbi.nlm.nih.gov/pubmed/17835457

Judgment under Uncertainty: Heuristics and Biases - PubMed

This article described three heuristics that are employed in making judgements under uncertainty: (i) representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; (ii) ava…

www.ncbi.nlm.nih.gov/pubmed/26185243

Machine learning: Trends, perspectives, and prospects

Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection of computer science and statistics, and at the core of artifi…

www.ncbi.nlm.nih.gov/pubmed/9377276

Long short-term memory - PubMed

Learning to store information over extended time intervals by recurrent backpropagation takes a very long time, mostly because of insufficient, decaying error backflow. We briefly review Hochreiter's (1991) analysis of this problem, then address it by introduc…

www.ncbi.nlm.nih.gov/pubmed/25462637

Deep learning in neural networks: an overview

In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarizes relevant work, much of it from the previous millennium. Shallow and…