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Item-level Forecasting for E-commerce Demand with High-dimensional Data Using a Two-stage Feature Se
With the rapid development of information technology and fast growth of Internet users,e-commerce nowadays is facing com......
Efficient Selection of Linearly Independent Atomic Features for Accurate Machine Learning Potentials
Machine learning potentials are promising in atomistic sim-ulations due to their compara-ble accuracy to first-principle......
piEnPred:a bi-layered discriminative model for enhancers and their subtypes via novel cascade multi-
Enhancers are short DNA cis-elements that can be bound by proteins(activators)to increase the possibility that transcrip......
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The theories and models of human visual perception are aim to understand and emulate the intelligent properties of human......
Feature selection method is very important for text categorization.In this paper,several classic feature selection metho......
The degree of malignancy in brain glioma dominates the way of treatment and is critical before brain surgery.Many learni......
随着DNA微阵列技术的出现,大量关于不同肿瘤的基因表达谱数据集被发布到网络上,从而为研究肿瘤特征基因选择和亚型分类提供了方便,......
人脸表情特征选择是人脸表情识别研究领域关注的一个热点.结合量子遗传算法与邻域粗糙集理论,提出一种新的人脸表情特征选择方法FS......
Influence of kernel paradigms, attribute numbers or data filtering on the performance of SVM in pred
Purpose: Support vector machine (SVM) model learning is commonly used in tumor prognosis evaluation for prostate cancer,......
Objective To investigate the early diagnosis of pneumoconiosis on digital radiographs by means of wavelet transform-deri......
Background: Since biological data are usually complex and high dimensional,selecting meaningful information from the bio......
Development and validation of a novel computational approach to identify epigenetic biomarkers assoc
Background: DNA methylation is one of the essential epigenetic mechanisms that are closely correlated with the prognosis......
Background: Bioinformatics data, such as Genomics and metabolomics data are usually high dimensional and small sample si......
Background: MicroRNAs (miRNAs) are a set of short (19~24nt) non-coding RNAs that play significant roles as posttranscrip......
This study investigated three-dimensional (3D) texture as a possible diagnostic marker of Alzheimers disease (AD).Tl-wei......
Autism spectrum disorder (ASD) of children is a neurodevelopmental disorder with a wide phenotypic range, often affectin......
Mental workload(MW)-based adaptive system has been found to be an effective approach to enhance the performance of human......
Most EEG-based brain-computer interface(BCI)paradigms include specific electrode positions.As the structures and activit......
This talk will cover two recently proposed nonparametric methods.In the first part,I will speak on a nonparametric shrin......
Clinical,pharmaceutical,and genetic association studies usually require patients with a specific disease to be identifie......
The Applications and its Strategies of AdaBoost Algorithm in the Credit Ratings on Feature Selection
In this paper,Adaboost algorithm is applied in credit ratings firstly,and empirical analysis shows that Adaboost algorit......
异性纤维是在棉花采摘、晾晒、运输和加工等环节中混入的非棉纤维性杂质,其含量较少,但带来的危害却很大。异性纤维的存在会降低棉......
为了提高磁瓦表面缺陷在线检测准确率并降低检测时间,提出一种基于机器视觉的检测方法。离线训练时,对经过Gabor小波处理后的子图......
当前室内可见光通信系统大多考虑接收机静止的情况, 无法适用于日益增多的移动设备。为了解决可见光通信系统中移动接收机的解调问......
为了解决地物分类的机载激光雷达(LiDAR)与高光谱特征构造中存在的特征维数过高的问题,提出了一种基于XGBoost与皮尔逊相关系数相......
针对相关滤波方法对快速运动与快速变形的目标跟踪稳定性较差的问题,提出一种自适应特征选择的相关滤波跟踪算法。利用位置滤波器......
针对随机森林(RF)在高维空间特征选择过程中计算繁琐和内存开销大、分类准确率低等问题, 提出了基于二分搜索(BS)结合修剪随机森林......
为提升卷积特征目标跟踪算法的实时性和稳健性,利用不同卷积层特征对不同目标表征能力不同的特性,提出双模型自适应切换的实时跟踪......
速效氮含量的预测在土壤养分诊断中具有重要意义,通过特征选择和回归预测算法可有效地提高速效氮光谱检测模型的预测精度。选取了......
传统表情识别技术采用单一类型的特征表示方法,由于每个特征类型对不同数据集的表示效果存在差异,导致传统技术对不同数据集的表情......
木材抗弯强度是评价木材力学性质的重要指标, 其快速准确预测具有工程应用价值和科学意义。 重点研究了使用近红外光谱分析光谱特......
The Discovery of Somatic Single Nucleotide Variations from Cancer Genome Sequencing Data with Increm
Somatic single nucleotide variations(SNV)identification is key for studying cancer genome and evolution.However,prev......
Feature selection and classification are two closely related problems in the research of high dimensional gene expre......
Key wavelengths selection from near infrared spectra using Monte Carlo sampling-recursive partial le
Variable selection is a critical step in data analysis for near infrared spectroscopy.Recently, many studies have be......
This study uses an electronic nose including 20 sensors to recognize the pathogen species of male rats, and each rat......
Feature selection for classification modeling has been attracting increasing attention in many industries particular......
随着网络信息量的急剧增长,如何在短时间内找到自己需要的信息成为人们关注的焦点.文本主客观分类是意见挖掘、观点抽取的核心技术......
模式识别问题中特征提取和特征选择是一个重要问题。基于向量的几何代数表示方法,提出了一种新的几何代数片积系数特征提取方法,并......
iLBE for Computational Identification of Linear B-cell Epitopes by Integrating Sequence and Evolutio
Linear B-cell epitopes are critically important for immunological applications, such as vaccine design, immunodiagnostic......
Flexible manifold embedding (FME) is a semi-supervised dimension reduction framework.It has been extended into feature s......
Visual analytics for machine learning has recently evolved as one of the most exciting areas in the field of visualizati......
With the pervasive generation of information from a wide range of sensors and devices,there always exist a large number ......
传统贝叶斯入侵检测算法没有考虑不同属性和属性权值对入侵检测结果的影响,因此分类准确率不够高.针对传统贝叶斯入侵检测算法存在......
