Supervised Learning

Ensemble methods have been popularly in supervised learning whereby it proved to reduce predictive errors to a considerable high margin compared to a single best classical predictor/ learning model.

融合方法已广泛应用于监督式学习，并且事实证明，融合方法比单一的预测＼学习模式相比，能将预测误差减少到相当高的程度。

Research on Domain-Specific Term Extraction Based on Semi-Supervised Learning

基于半监督学习的特定领域术语抽取算法的研究

Classification accuracy of unsupervised learning algorithm is usually not satisfactory, so people tend to make use of supervised learning in practice.

由于无监督学习的准确率通常不能令人满意，在实际应用中人们趋向于运用有监督方法。

Constrained clustering and transductive learning mainly deal with learning problems between unsupervised learning and supervised learning.

约束聚类和约束分类主要处理学习问题的方式间于无监督学习和监督学习。

The class-aggregating algorithm of the fuzzy hypersphere neural networks use a form factor θ to realize a supervised learning.

模糊超球神经网络的聚类学习算法采用形状因子θ实行有指导的学习。

The supervised learning approach based on corpus almost encounters the sparse data problem, and makes iid.

基于语料库的有监督方法通常面临着数据稀疏问题与独立同分布条件假设。

Supervised Learning of Heuristic Function for Refutation

反演启发函数的监督学习算法

Research on Graph-based Semi-Supervised Learning Model and Classifier Design

基于图的半监督学习模型研究与分类器设计

dr. chen explained the methods for scaling up the supervised learning algorithm.

陈博士解释了扩大监督学习算法规模的方法。

Semi-supervised learning flourishes as it can circumvent the limitations of unsupervised learning and supervised learning.

半监督学习的蓬勃发展规避了无监督学习和监督学习的局限性。

Religious curricula in the new schools are supervised by Al-Azhar, the highest seat of learning in the Sunni Muslim world.

新学校的宗教课均由逊尼派穆斯林世界的最高学府爱资哈尔大学提供。

according to the orders of supervised learning ways, unsupervised learning ways and reinforcement learning ways, this paper summarizes techniques, methods and applications used in the various learning algorithms and learning systems under three learning ways, respectively.

本文按三种学习方式：有导师学习、无导师学习和加强学习的次序，分别概述了在这些学习方式下各种学习算法和学习系统中所采用的学习技术、方法及其应用。

Unsupervised learning is used to adjust input weight values and supervised learning is utilized to adjust output weight values.

学习过程中，采用无监督学习算法对输入权重进行调整，采用有监督学习算法对输出权重进行调整。

lattice machine is a novel approach to supervised learning.

格机是一种新颖的有监督学习方法。

We attempt to learn the robust manifold learning algorithm for different applications by three approaches of de-noising, supervised learning, and unsupervised learning.

分别从除噪、监督学习、无监督学习三个方面入手，研究能适应不同应用场景的健壮流形学习算法。

A Hybrid Supervised Learning Control of Continuous Stirred Tank Reactor

连续搅拌反应釜的混合监督学习控制

A support vector machine half-supervised machine learning method based on fuzzy C-mean algorithm objective to feature vector automatic acquirement was proposed and used in texture image segmentation.

针对纹理图像分割中的训练样本自动获取问题，提出了一种基于模糊C均值算法的支持向量机半监督图像分割方法。

Based on the out-of-sample framework and the graph embedding framework, the thesis presents a more general common framework for manifold learning. The new framework embodies graph construction, tensor learning, incremental learning and supervised learning.

提出新的流形学习统一框架在样本泛化与图嵌理论的基础上，提出了更一般的流形学习统一框架，这一框架包含了图的建立、张量学习、增量学习和有监督学习。

dr. lee explained weakly supervised learning to the students.

李博士向学生们解释了弱监督学习。

dr. lee explained semi supervised learning to the class.

李博士向全班解释了半监督学习。

different kinds of gaussian process classification methods compared with the traditional supervised learning.

同时，还对不同种高斯过程分类方法与三种经典的监督式学习方法进行分类检测对比实验。

The coefficient and operator for color components combination is determined by a supervised learning mechanism.

颜色分量运算的线性组合系数可通过有监督的学习自动确定。

a supervised learning evidence theory classifier is proposed to solve this problem.

通过在证据理论中引入神经网络的学习机制，该文提出了一种有监督学习证据理论分类器。

A new hybrid supervised learning control scheme is presented for continuous stirred tank reactor ( CSTR) systems.

提出了一种连续搅拌反应釜（CSTR）的混合监督学习控制方法。

Research Advances on Supervised Learning ol Static Feedforward Networks

静态前馈型网络的监督学习方法研究进展

Currently, there are so many research on machine learning algorithm, and machine learing algorithm can be divided into supervised and unsupervised.

目前基于机器学习算法的研究较多，大致可以分为有监督和无监督学习两类。

This paper proposes a method combining supervised learning with unsupervised method to conduct CWS, which incorporates unsupervised segmentation into Conditional Random Fields ( CRFs).

该文提出一个基于条件随机场（CRF）的古汉语自动断句标点方法，并引入互信息和t测-试差两个统计量作为模型的特征。

multi-instance learning is even harder than supervised learning with noise.

多示例学习的难度比带噪声的监督学习难度更大。

after supervised learning, the visual network can extract image features and classify patterns.

经过学习的视觉模式识别网络，可完成图像特征的提取，实现相对于图像平移和尺度不变的模式识别。

As people make an intensive study of SVM in the primal space, various problems meted in application were solved in the primal space, such as the problem of semi-supervised learning.

随着人们在原始空间对支持向量机研究的深入，实际应用中碰到的各种问题也开始在原始空间进行求解，如半监督学习问题等。