: 随着当今信息技术的飞速发展, 信息的存在形式多种多样, 来源也十分广泛. 不同的存在形式或
信息来源均可被称之为一种模态, 由两种或两种以上模态组成的数据称之为多模态数据. 多模态…

… For every pixel ¥, we calculate the variance of 5 £¦¥§ (©6 708 93 ) in a ¤¥¤ window. If the
variance is smaller than a threshold given by @ ¡ , then we consider the changes in the six …

… Applying neural-network-based machine learning to additive manufacturing: current … Artificial
neural network based on genetic learning for machining of polyetheretherketone composite …

: 机器学习作为一种统计学与计算机科学相结合的新兴技术, 近年来在作物信息获取任务中得到
广泛应用. 传统的作物信息获取方式主要依靠化学检测法, 测定过程耗时, 耗力. 基于机器学习算法…

… Moreover, spatial variations of design flood will be examined by applying the proposed …
Moreover, spatial variations of design flood will be examined by applying the proposed …

… 除上述描述的Robust SCN 模型, Wu 等人提出了Bayesian SCN (Bayesian stochastic
configuration networks) 用 于处理不确定数据, 通过引入贝叶斯推理(Bayesian inference, BI) 方法计算…

… Optimising hypothesis tests of efficacy in external pilot trials using Bayesian statistical …
Potential relevance and impact: By viewing external pilot trial design from a Bayesian decision-…

: 大数据及人工智能技术的崛起推动了数智流体力学的快速发展. 数智流体力学是将流体力学, 大
数据和人工智能相结合, 以流体力学场景需求为导向, 形成以“数” 为基础, 以“智” 为核心, 以算力为…

: 柔鱼(Ommastrephes bartramii) 是我国在西北太平洋重要的商业捕捞对象, 对其渔场进行准确
预报是提高渔业生产能力的重要内容. 本研究分别选取2005~ 2013 年我国在该海域的柔鱼渔获量…

… Approximate inference in additive factorial HMMs with application to energy disaggregation.
In: Proceedings of the 5th International Conference on Artificial Intelligence and Statistics. …