Krasnoselskii不动点定理的一个应用

不动点理论是研究方程解的存在性的一种强有力的工具.本文主要考虑了一类特殊的积分方程,并应用Krasnoselskii不动点定理得到了该类积分方程解的存在性.     

Information resources estimation for accurate distribution-based concept drift detection

Machine learning applications must continually utilize label information from the data stream to detect concept drift and adapt to the dynamic behavior. Due to the computational expensiveness of label information, it is impractical to assume that the data stream is fully labeled. Therefore, much research focusing on semi-supervised concept drift detection has been proposed. Despite the large research effort in the literature, there is a lack of analysis on the information resources required with the achievable concept drift detection accuracy. Hence, this paper aims to answer the unexplored research question of “How many labeled samples are required to detect concept drift accurately?” by proposing an analytical framework to analyze and estimate the information resources required to detect concept drift accurately. Specifically, this paper disintegrates the distribution-based concept drift detection task into a learning task and a dissimilarity measurement task for independent analyses. The analyses results are then correlated to estimate the required number of labels within a set of data samples to detect concept drift accurately. The proximity of the information resources estimation is evaluated empirically, where the results suggest that the estimation is accurate with high amount of information resources provided. Additionally, estimation results of a state-of-the-art method and a benchmark data set are reported to show the applicability of the estimation by proposed analytical framework within benchmarked environments. In general, the estimation from the proposed analytical framework can serve as guidance in designing systems with limited information resources. This paper also hopes to assist in identifying research gaps and inspiring new research ideas regarding the analysis of the amount of information resources required for accurate concept drift detection.     

无穷大开簇上构型出现次数的强大数律和中心极限定理(英文)

考虑定义在整点格网Ld上的参数为p的上临界Bernoulli渗流,研究无穷大开簇上构型的发生情况.用Λn表示一个给定的构型P在限制于框B(n)=[-n,n]d中的无穷大开簇上发生的次数,得到了关于Λn的强大数律和中心极限定理.     

正则化方法在非光滑分析中的应用

用正则化方法,借助于数学分析中的凸性判定定理及微分中值定理,证明了非光滑分析中的凸性判定定理及广义微分中值定理     

带Hardy-Sobolev临界指数和权函数的半线性椭圆问题的非平凡解

借助环绕定理和非线性分析技巧,研究如下一类带Hardy-Sobolev临界指数和权函数的半线性椭圆方程 - Δ u-μ u |x|² =λu+K(x) |u|^2*(s)-2u |x|^s , x∈Ω; u=0, x∈Ω, 解的存在性,其中Ω是 R ^<em>N具有光滑边界的有界开区域,0∈Ω,N≥5,0≤s≤2, 0≤μ≤ N-2 2 ², λ>０,K(x)是 上有界正函数.     

以频率估计概率的误差估计及其应用

阐述了以频率估计概率的误差估计公式，并举例说明公式在实际问题中的有关应用。     

两类多元函数条件极值的判定

对于用拉格朗日乘数法求出多元函数条件极值问题的可疑极值点,利用隐函数存在定理,给出了两类多元函数的条件极值问题的一些适用范围比较广的判定定理,并举例验证该判定定理的有效性.     

罗尔中值定理在高等数学竞赛题中的运用

结合江苏省高等数学竞赛题探讨中值问题中等式的证明,从罗尔中值定理的结构分析、求导法则的熟练使用以及辅助函数构造的对比分析三个角度出发,分析了罗尔中值定理在微分中介值问题证明中的运用.     

哥德巴赫猜想证明中的误差问题

在前期笔者对哥德巴赫猜想的证明思路的基础上,针对该证明中的误差问题,进一步进行解释并给出更明确的补充证明,使证明更其严密与完善。     

HA—凸函数及其Jsensen不等式

针对凸性及其广义凸性问题,提出了HA—凸函数的概念,给出了HA—凸函数的判定定理及其运算性质,建立了HA—凸函数的Jensen型不等式,列举了HA—凸函数的应用实例.