online learning(在线学习)。也叫做 Out-Of-Distribution learning。而这也就引申出了一些问题，比如：当...
首先，我觉得有必要强调，learning theory虽然是machine learning相关的，但是本质上它是theory。从learning ...
在文献《A Few Useful Thingsto Know about Machine Learning》中这样定义偏差(bias)与方差(variance): Bias: a learner's tendency to consistently learn the same wrong thing,即度量了某种学习算法的平均估计结果所能逼近学习目标(目标输出)的程度。 Variance:the tendency to learn random things irrespective of...
- 《Machine Learning》 被引量: 587发表: 0年 Learning from the future meets Bateson's levels of learning with learning from an envisioned future scenario results in more innovative and radical ideas, as well as in a higher number of covered content domains. ... A Kaiser,rtenblad, Anders,...
Plenary lecture 1: a new artificial intelligence in game design - introduction to reinforcement learning The game theory domain is been widely regarded as appropriate for understanding the concepts of machine learning. Scientists usually focus on strategic games and make efforts to create "intelligent"...
In this article, we share a model of game-based learning for use in the context of classroom learning in school. The model is based on the dialectic intera... YS Chee,SK Loke,EM Tan - International Journal of Gaming and Computer-Mediated Simulations 被引量: 7发表: 2009年 Identity-Based...
Article Open access 28 May 2021 Ultra-fast interpretable machine-learning potentials Article Open access 02 September 2023 The data-driven future of high-energy-density physics Article 19 May 2021 Introduction Over the last few years the use of machine learning opened up new vistas in many ar...
What is the reinforcement theory of learning? The reinforcement theory of learning is a popular iterative process inmachine learning. In this case, smart algorithms try to maximize some value based on rewards received for making the right decision under uncertainty....
Secondly, the application of game theory in machine learning is also becoming increasingly popular. In the field of reinforcement learning, game theory is used to describe the interaction between the agent and the environment to help the agent learn optimal strategies. Through game theory, the agent...
Machine Learning Theory refers to the understanding of what is necessary for successful and efficient learning in the field of artificial intelligence. It involves developing models that can learn from experience and make predictions based on relationships between variables, often leading to breakthroughs ...