We continue our study on classification learning algorithms generated by Tikhonov regularization schemes associated with Gaussian kernels and general convex loss functions. Our main purpose of this paper is to improve...We continue our study on classification learning algorithms generated by Tikhonov regularization schemes associated with Gaussian kernels and general convex loss functions. Our main purpose of this paper is to improve error bounds by presenting a new comparison theorem associated with general convex loss functions and Tsybakov noise conditions. Some concrete examples are provided to illustrate the improved learning rates which demonstrate the effect of various loss functions for learning algorithms. In our analysis, the convexity of the loss functions plays a central role.展开更多
The management of the coastal park environment is a major ecological and economic development issue. In developing effective policies, relevant information is essential, especially the economic valuation of various re...The management of the coastal park environment is a major ecological and economic development issue. In developing effective policies, relevant information is essential, especially the economic valuation of various recreation-related environmental attributes. This study used Dalian coastal parks as a pilot study area and estimated the willingness to pay(WTP) of tourists using three different discrete choice models. In this study, we analyzed the preference heterogeneity among the respondents regarding a combination of park attributes, and the individual respondent’s WTP values were estimated for each attribute. The results indicate that water quality amelioration and trash reduction had the highest economic values among the given attribute factors. In addition, the estimated tourist WTP varied considerably among different segments, such as among the visitors who preferred different recreational activities. These findings provide valuable information that will allow coastal park managers to develop policies which maintain a balance between tourism development and improvement of the coastal environment.展开更多
文摘We continue our study on classification learning algorithms generated by Tikhonov regularization schemes associated with Gaussian kernels and general convex loss functions. Our main purpose of this paper is to improve error bounds by presenting a new comparison theorem associated with general convex loss functions and Tsybakov noise conditions. Some concrete examples are provided to illustrate the improved learning rates which demonstrate the effect of various loss functions for learning algorithms. In our analysis, the convexity of the loss functions plays a central role.
基金The National Natural Science Foundation of China (71640023)。
文摘The management of the coastal park environment is a major ecological and economic development issue. In developing effective policies, relevant information is essential, especially the economic valuation of various recreation-related environmental attributes. This study used Dalian coastal parks as a pilot study area and estimated the willingness to pay(WTP) of tourists using three different discrete choice models. In this study, we analyzed the preference heterogeneity among the respondents regarding a combination of park attributes, and the individual respondent’s WTP values were estimated for each attribute. The results indicate that water quality amelioration and trash reduction had the highest economic values among the given attribute factors. In addition, the estimated tourist WTP varied considerably among different segments, such as among the visitors who preferred different recreational activities. These findings provide valuable information that will allow coastal park managers to develop policies which maintain a balance between tourism development and improvement of the coastal environment.
