我们使用Clojure来进行数据处理和机器学习研究。
We use Clojure for the data processing and machine learning research.
利用最大余量原理的特征选择算法在目前的机器学习研究中已经占据了重要的地位。
Margin-based algorithms which use the large margin principle for feature selection have already played a crucial role in current machine learning research.
这是机器学习研究的一个非常活跃的领域，但目前研究的进展与监督式学习还是不能比拟的。
That's a very active area of machine-learning research, but it's not a solved problem to the extent that supervised learning is.
这项非常有成效的结果强有力的证明了，如此先进的机器学习法应该被视为研究动物行为的一种新的相关的工具。
The promising results obtained strongly suggest that advanced machine learning approaches deserve to be considered as a new relevant tool for studying animal behaviour.
机器学习的目标并不完全是寻找意识那么刺激，不过从某些方面说，它更有可能接近达到传统人工智能研究的目标。
The goal of machine learning is not quite the search for consciousness that seems so exciting, but in some ways it comes closest to reaching for what may seem to be the traditional goals of AI.
研究方向：生物特征识别，模式识别，机器学习和图像处理等。
Her current research interests include biometrics, pattern recognition, machine learning and image processing.
软件机器人模拟器不但简化了机器人工程师的开发工作，还为研究人工智能(artificial intelligence,AI)算法和机器学习提供了工具。
Software robot simulators not only simplify development work for robotics engineers, but they also give researchers a tool for studying artificial intelligence (AI) algorithms and machine learning.
目前，离群挖掘正逐渐成为数据库、机器学习、统计学等领域研究人员的研究热点。
At present, outlier data mining is a hotspot for the researchers of database, machine learning and statistics.
本文以足球仿真机器人系统为研究平台，研究多智能体对抗系统的高层策略学习问题。
Based on soccer robot simulation as its research platform, this paper studies the learning of high level strategy of multi-agent adversarial system.
这些年来，演化天线、机器自学习、自适应容错等领域的研究都取得了很多成果。
These years, evolved antenna, machine auto-adapt, auto study, fault-tolerant and so on research have yielded many results.
粗糙集理论(rst)与支持向量机(SVM)作为模式识别，数据处理的有效工具，已成为机器学习的研究热点。
As an effect tool of pattern recognition and data processing, rough set theory (RST) and support vector machine (SVM) have become the focus of research in machine learning.
实际上，我认为机器学习(或者说，更多的数据)改变这个学科的方式之一是为经济理论研究重新注入能量。
I actually think one way machine learning (or really, more data) will affect the field is that after a while it will re-energize economic theory.
第一批实验性研究的成果刚刚开始为语音学家所用，这些成果是通过使用机器学习算法和有关人声所蕴含的情感的巨大数据库取得的。
The first experimental-research results — gained from employing machine-learning algorithms and huge databases of human emotions embedded in speech — are just becoming available to speech scientists.
该技术已成为当前国际机器学习界的研究热点。
It has become one research focus in the field of international Machine Learning.
这项非常有力的证明了，如此先进的机器学习法应该被视为研究动物行为的一种新的相关的工具。
The promising results obtained strongly suggest that advanced machine learning approaches deserve as a new relevant tool for studying animal behaviour.
本文研究了机器学习和文本挖掘的若干算法。
In this paper, some algorithms for machine learning and text mining have been researched.
研究人工分类、机器学习分类的结合方法，提出基于“分类-使用-调整”逐步求精的分类方法。
Studying the combination of manual and machine learning classification, an classification approach for improving the precision based on "classification-use-adjustment is proposed".
研究了采用机器学习和模式识别发现潜在客户的实现方法。
This paper focuses on how to apply machine learning and model recognizing to find potential customers.
支持向量机是机器学习领域的一个研究热点，它的理论基础是统计学习理论。
Support Vector Machine (SVM), based on the counts study theory, is a research hot spot in machine learning domain.
他的研究兴趣包括数据挖掘、机器学习以及推荐系统。
His research interests include data mining, machine learning, and recommendation systems.
支持向量机是继神经网络后机器学习的热点研究技术，它主要应用于分类和回归问题中。
SVM is the hot issue accompanying artificial neural network in machine learning. It involves any practical problems such as classification and regression estimation.
与传统统计学相比，统计学习理论是一种专门研究小样本情况下机器学习规律的理论。
Compared with statistical theory, statistical learning theory focuses on the machine learning of small sample size and can trade off between the complexity of models and generalization performance.
我们在法国格勒诺布尔也有研究中心，研究重点是语言学和机器学习。
Then we have research center in Grenoble, France where the focus is all on linguistics, machine learning.
许多关于数据挖掘和机器学习的研究都集中于分类的研究，然而现实世界涉及到的不仅仅是分类问题，比如对象的排序问题。
Many real world problems deal with ordering objects instead of classifying objects, though most research in machine learning and data mining has been focused on the latter.
集成学习是当前机器学习的一个研究热点，它可以提高分类算法的泛化性能。
Ensemble learning is a research hotspot in machine learning, which can improve generalization performance of classification algorithm.
这种研究方法不仅开拓了一条机器学习的新途径，而且也是从数据中推理决策规则的一种新探索。
The methods proposed here are not only a new approach of machine learning, but alos a new kind of investigation on inductive decision.
它不仅有助于科学家对机器学习和神经计算的深入研究，还有助于普通工程技术人员利用神经网络技术来解决真实世界中的问题。
It is not only helpful for scientists to investigate machine learning and neural computing but also helpful for common engineers to solve real world problems using neural network techniques.
它不仅有助于科学家对机器学习和神经计算的深入研究，还有助于普通工程技术人员利用神经网络技术来解决真实世界中的问题。
It is not only helpful for scientists to investigate machine learning and neural computing but also helpful for common engineers to solve real world problems using neural network techniques.
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