Refining Kernels for Regression and Uneven Classification Problems
نویسندگان
چکیده
منابع مشابه
Ensemble Kernel Learning Model for Prediction of Time Series Based on the Support Vector Regression and Meta Heuristic Search
In this paper, a method for predicting time series is presented. Time series prediction is a process which predicted future system values based on information obtained from past and present data points. Time series prediction models are widely used in various fields of engineering, economics, etc. The main purpose of using different models for time series prediction is to make the forecast with...
متن کاملLearning the Kernel for Classification and Regression
We investigate a series of learning kernel problems with polynomial combinations of base kernels, which will help us solve regression and classification problems. We also perform some numerical experiments of polynomial kernels with regression and classification tasks on different datasets.
متن کاملTwo New Graph Kernels and Applications to Chemoinformatics
Chemoinformatics is a well established research field concerned with the discovery of molecule’s properties through informational techniques. Computer science’s research fields mainly concerned by the chemoinformatics field are machine learning and graph theory. From this point of view, graph kernels provide a nice framework combining machine learning techniques with graph theory. Such kernels ...
متن کاملMultiple Kernel Learning for Support Vector Regression ∗
Kernel support vector (SV) regression has successfully been used for prediction of nonlinear and complicated data. However, like other kernel methods such as support vector machine (SVM) classification, the quality of SV regression depends on proper choice of kernel functions and their parameters. Kernel selection for model selection is conventionally performed through repeated cross validation...
متن کاملTwo new graphs kernels in chemoinformatics
Chemoinformatics is a well established research field concerned with the discovery of molecule’s properties through informational techniques. Computer science’s research fields mainly concerned by chemoinformatics are machine learning and graph theory. From this point of view, graph kernels provide a nice framework combining machine learning graph theory techniques. Such kernels prove their eff...
متن کامل