Firstly, we design the multi-view cooperative learning to find latent relational information from the various views. Secondly, we utilize invariant rationale to encourage the model to focus on crucial information, which can empower the performance and explanations of the model. We conduct the ...
G Pajares,JMDL Cruz,JAL Orozco - 《Pattern Analysis & Applications》 被引量: 21发表: 1998年 Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations Vision-language contrastive learning frameworks like CLIP enable learning representations from ...
In [8], a dynamic multi-objective evolutionary algorithm driven by inverse reinforcement learning is used to tackle the DMOPs. To accelerate the convergence and maintain the diversity of the evolutionary population, a Q-learning-based change response approach is considered to generate solutions in ...
Deep Reinforcement Learning has made significant progress in multi-agent systems in recent years. The aim of this review article is to provide an overview of recent approaches on Multi-Agent Reinforcement Learning (MARL) algorithms. Our classification of MARL approaches includes five categories for mod...
Cooperative learning consists of five basic elements: (1) positive interdependence: a cooperative group shares a common goal and completes learning task together; (2) individual accountability: each member of the team shares responsibility for each other's success; (3) promotive interactions: ...
A multi-instructor cooperative model for supporting learning objects aggregation based on XML-based planning strategy The interoperability and reusability of learning content is a major concern in educational technology. It is useful to introduce a multi-instructor coopera... N Pukkhem,W Vatanawood 被...
Cooperation in learning (CL) can be realized in a multiagent system, if agents are capable of learning from both their own experiments and other agents' kn... BN Araabi,S Mastoureshgh,MN Ahmadabadi - 《IEEE Transactions on Systems Man & Cybernetics Part B Cybernetics A Publication of the...
& Liu, J. Learning of fuzzy cognitive maps with varying densities using a multi-objective evolutionary algorithm. IEEE Trans. Fuzzy Systems 24, 71–81 (2016). 44. Erdős, P. & Rényi, A. On the evolution of random graphs. Publications of the Mathematical Institute of the Hungarian ...
In our context of a trading experiment, we propose transportation games as a paradigm for the study of the learning process. Our experiment can also be seen as multi-player transportation situation in the classic operations research sense. In our experiment, the number of players within each grou...
His research activity mainly concerns machine learning, semantic web, intelligent information access and personalization. His research interests include also logical and algebraic foundations of machine learning for inductive reasoning, extraction of dynamic user profiles, web and usage mining, revision of ...