3、Method of P2P traffic classification using machine learning algorithms
6、Application of Gaussian process machine learning to slope stability evaluation
9、Conceptual learning is one of the main constituents in machine learning.
12、Support Vector Machine(SVM) is a machine learning method based on Statistical Learning Theory. It can solve a series of issues of Neural Networks.
15、Forecast of rock burst intensity based on Gaussian process machine learning
18、The other is that profile's manual input is being replaced by machine learning.
21、Support vector machines (SVM) are a kind of novel machine learning methods, based on statistical learning theory, which have been developed for solving classification and regression problems.
24、The midterm contains topics from decision analysis and machine learning. There will be a strict time limit of 1.5 h.
27、Local user vocabulary is built by machine learning and utilizing Chinese pronunciation information and grammar information to improve the efficiency of Chinese intelligent input method for improving the usability of Chinese intelligent input software by using machine intelligence.
31、This paper proposes a language-independent text categorization model based on machine learning, and describes the feature extraction, classifier and evaluation method in detail.
34、The heuristic extension search algorithm, extension relation inheritance reasoning, and related memory extension inheritance reasoning for matter element AND/ OR nets are given, which rich the content of creative reasoning of machine learning.
1、Support vector machine (SVM) is a new machine learning technique developed on statistical learning theory.
5、Several approaches to machine learning are used to solve problems.
10、Large scale machine learning problems always restrict real application of many ma-chine learning algorithms.
14、SVM is a novel powerful machine learning method developed in the framework of Statistical Learning Theory (SLT).
19、The definitional scope creep afflicting the machine learning arena mirrors these challenges.
23、Can a company so enamored with the power of algorithms and machine learning, let the user take control?
28、An effective filtering profile can debase the request from the whole text filtering system to the machine learning mechanism and improve filtering efficiency of system.
33、Among the large number of new plugins are an automated processing framework, dynamic filtering, new and efficient clustering methods, a machine learning module and database connectivity.
2、Decision tree algorithm in the classification of machine learning methods
8、Support Vector Machine( SVMs) have become an popular tool for machine learning task.
16、My company, Kaggle, operates on the cutting edge of machine learning.
22、Support vector machine which is based on statistical learning theory has been developed a new machine learning method. It can solve small - sample, non - linear and high dimension problems.
29、The promising results obtained strongly suggest that advanced machine learning approaches deserve to be considered as a new relevant tool for studying animal behaviour.
36、digital camera, video camera, digital binoculars, MP3/MP4 players, mobile hard disk, machine learning, Repeater, DVD, DVB, PDA, chargers, transformers, high definition television, liquid crystal displays and medical equipment, Network equipment.
11、Support vector machine is a kind of machine learning algorithm based on statistical learning theory which mainly researches the learning of limited number of samples.
20、A support vector machine is a new machine learning technique developed on the basis of statistical learning theory, and it is the most successful realization of statistical learning theory.
32、He states that "it's safe to regard machine learning, data mining, predictive analysis, and advanced analytics as more or less synonymous."
7、Support Vector machine (SVM) is a kind of new machine learning algorithm developed on the basis of statistical learning theory.
25、A robot has taught itself to smile, frown, and make other human facial expressions using machine learning.
4、Partitioning machine learning sample set using similarity to mean vector
26、The classifier is the core of the classifying system, which can be improved through machine learning whenever necessary.
17、Study on Web text categorization and algorithm based on machine learning
35、There are eight features used to form the feature vector for each sentence, and the summarizer is gained by machine learning algorithms, so automatic summarization is changed into classification task.
13、Support vector machine (SVM) is a brand-new machine learning technique based on statistical learning theory. It is an ideal facility for modeling of various nonlinear systems.
