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Inspired by the basic idea of gradient boosting, this study aims to design a novel multivariate regression ensemble algorithm RegBoost by using multivariate linear regression as a weak predictor.

To achieve nonlinearity after combining all linear regression predictors, the training data is divided into two branches according to the prediction results using the current weak predictor. The linear regression modeling is recursively executed in two branches. In the test phase, test data is distributed to a specific branch to continue with the next weak predictor. The final result is the sum of all weak predictors across the entire path.

Through comparison experiments, it is found that the algorithm RegBoost can achieve similar performance to the gradient boosted decision tree (GBDT). The algorithm is very effective compared to linear regression.

This paper attempts to design a novel regression algorithm RegBoost with reference to GBDT. To the best of the knowledge, for the first time, RegBoost uses linear regression as a weak predictor, and combine with gradient boosting to build an ensemble algorithm.

This chapter looks at the sex trade in Japanese society and the manner in which it has been accepted for decades, both socially and legally, as a ‘necessary evil’. This passive and disinterested tolerance of the industry's quasi-legal state, neither banning prostitution completely nor ensuring that it follows the transparent rules and regulations expected of other industries, means that it fails to satisfy either of the primary views on transactional sex: prohibition or legalisation. The result is that the women involved in the industry are subject to various forms of exploitation and abuse that the Japanese government, by failing to take active steps to reform the industry in either direction, becomes complicit to. Shaped by personal interviews with members of the industry and the NGOs that provide them with support, the chapter provides an examination of the industry's historical development, its portrayal in popular media and the prevailing social norms regarding the industry. It then assesses the political and legal responses to the industry and the glaring oversights that exist in their failure to provide adequate support. Finally, it considers, based upon the self-expressed interests of the women working in the industry, in what areas meaningful reform might occur.