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- Theoretically how to choose Kernel function remains unsolved. 在理論上，怎樣選擇核函數，還是一個未解決的問題。
- Super advertising shield and attached a crucial handoff IE kernel function. 附帶超強的廣告屏蔽和IE內核一鍵切換功能。
- Kernel function is applied in PCA and DDA, so the linear discriminance method is dislinearized. 在主分量分析方法以及線性判別式方法中,引入核函數,使得原來的線性判別方法非線性化。
- For this reason, several important properties of kernel function are discussed on the basis of support vector machine. 為此，在研究支持向量機的基礎上，給出了核函數的若干重要性質。
- The kernel function is modified by means of a conformal mapping, which makes the kernel function data-dependent. 利用與數據有關的保角映射，使核函數具有數據依賴性。
- When the Gaussian kernel function width is 2.0, RVM method possesses more perfect prediction performance. 當高斯核函數的寬度值取為2.;0時，相關向量機方法具有較為理想的預測效果。
- The kernel function can be unit hydrograph of deterministic system or time series model of stochastic system. 通常核心函數可為定率系統之單位歷線或序率系統之時間序列模式。
- Geological information at different depth was described by introducing a mixed window kernel function to SVM. 通過引入窗口核函數，準確地反映了不同深度的地質信息。
- The algorithm solves nonlinear regression problems mainly through inductive-insensitive loss function and kernel function. 這裡提出了核學習技術在儲集層非均質特性描述中滲透率參數預測的新用途。
- As for the undivided linear sample space, the kernel function is needed to map onto another high dimension linear space. 對於線性不可分的樣本空間，需要尋找核函數，將線性不可分的樣本集映射到另一個高維線性空間。
- This paper proposes an improvement of LBF model，which utilizes a new kernel function instead of Gaussian kernel function. 提出了一個改進的LBF模型，它使用一個新的核函數代替高斯核函數。
- Kernel function is the key technology of SVM,the choice of kernel will affect the learning ability and generalization ability of SVM. 核函數是SVM的關鍵技術,核函數的選擇將影響著支持向量機的學習能力和泛化能力。
- A signal and noise separator based on SVM whose kernel function is Gauss function was used to distinguish the target signals from noises, and enhance the SNR by removing noises. 採用以高斯函數為核函數的SVM所構成的信噪分離器，對信號和雜訊進行識別和分離，從而消除雜訊，得到高信噪比的超聲回波信號。
- The experiment results show that,when employing the same kernel function,the self-adaptability and forecasting accuracy of FFLSSVM is superior to SVM and LSSVM. 實驗結果表明:FFLSSVM比由相應核函數構成的SVM、LSSVM自適應性強、預測精度高;
- Recently，a new SVM kernel function GLDS，has shown better performance than conventional SVM kernel.This paper mainly introduces a method WCCN to process the SVM input vectors. 引入類內方差歸一化（WCCN）方法來處理SVM的輸入特徵向量，並和GLDS核相結合，提出一種基於類內方差歸一化和SVM的說話人識別方法。
- A novel approach is discussed to choose the bandwidth for kernel density estimation.Based on the Gaussian kernel function, the recursion formula of bandwidth is derived. 摘要在未知總體分佈的情形下，給出密度核估計中選擇窗寬的一個新方法，並在選取高斯核的情形下，推導出計算窗寬的遞歸公式。
- Some basic SVMs are constructed by adopting different kernel function or parameters and then the final prediction is obtained through aggregating the results of these basic SVMs. 提出一種基於SVM集成的核選擇方法，利用不同的核函數構造子SVM學習器，然後對子學習器的預測結果集成。
- This paper presented a lifting wavelet to construct a new wavelet function which could be used as an allowable kernel function for support vector machine(SVM). 摘要採用提升小波方法構造出一種滿足雙正交的小波函數，並將這種小波函數作為支持向量機的核函數；
- In this paper,an SVM-based approach applied to predict steel quenching degree is presented,and the effects of selecting kernel function on SVM modeling are also analyzed. 本文提出了基於支持向量機模型預測鋼淬透性的方法,並分析了核函數的選擇對支持向量機建模的影響。
- The algorithm introduces twice training of Riemannian geometry』s modifying the kernel function as well as a forgetting factor to decrease the the number of support vectors. 考慮到簡化演算法模型和降低計算複雜度，該演算法引入遺忘因子和使用黎曼幾何修改核函數的二次訓練方法減少了演算法的支持向量數目。
