ARTIFICIAL INTELLIGENCE
ARTIFICIAL INTELLIGENCE(英文缩写 ARTIF INTELL-AMST),ISSN 0004-3702,eISSN 1872-7921 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
指标来源：jcr_cas_ifqb
期刊简介
暂无简介。
历年影响因子趋势
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ARTIFICIAL INTELLIGENCE 最新收录文献
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Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning.
A hallmark of human intelligence, but challenging for reinforcement learning (RL) agents, is the ability to compositionally generalise, that is, to recompose familiar knowledge components in novel way…
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Rule-Enhanced Active Learning for Semi-Automated Weak Supervision.
A major bottleneck preventing the extension of deep learning systems to new domains is the prohibitive cost of acquiring sufficient training labels. Alternatives such as weak supervision, active learn…
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Learning in the Machine: Random Backpropagation and the Deep Learning Channel.
Random backpropagation (RBP) is a variant of the backpropagation algorithm for training neural networks, where the transpose of the forward matrices are replaced by fixed random matrices in the calcul…
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Methods for solving reasoning problems in abstract argumentation - A survey.
Within the last decade, abstract argumentation has emerged as a central field in Artificial Intelligence. Besides providing a core formalism for many advanced argumentation systems, abstract argumenta…
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Modeling the Complex Dynamics and Changing Correlations of Epileptic Events.
Patients with epilepsy can manifest short, sub-clinical epileptic "bursts" in addition to full-blown clinical seizures. We believe the relationship between these two classes of events-something not pr…
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The Dropout Learning Algorithm.
Dropout is a recently introduced algorithm for training neural network by randomly dropping units during training to prevent their co-adaptation. A mathematical analysis of some of the static and dyna…
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Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments.
In this paper we show that a corpus of a few thousand Wikipedia articles about concrete or visualizable concepts can be used to produce a low-dimensional semantic feature representation of those conce…
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The Local Geometry of Multiattribute Tradeoff Preferences.
Existing representations for multiattribute ceteris paribus preference statements have provided useful treatments and clear semantics for qualitative comparisons, but have not provided similarly clear…
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Updating action domain descriptions.
Incorporating new information into a knowledge base is an important problem which has been widely investigated. In this paper, we study this problem in a formal framework for reasoning about actions a…
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A comparative runtime analysis of heuristic algorithms for satisfiability problems.
The satisfiability problem is a basic core NP-complete problem. In recent years, a lot of heuristic algorithms have been developed to solve this problem, and many experiments have evaluated and compar…