Supervised ordering by regression combined with Thurstone’s model
Supervised ordering by regression combined with Thurstone’s model
复制标题
通过与 Thurstone 模型组合回归进行监督排序
DOI：
10.1007/s10462-007-9050-5
复制
发表时间：
2006
影响因子：
12
通讯作者：
S. Akaho
中科院分区：
文献类型：
--
作者：
Toshihiro Kamishima;S. Akaho
在本文中，我们提倡一个涉及对象的订单的学习任务，我们称之为监督订单任务此任务是获取用于估算给定无序对象的适当顺序的规则。矢量开发用于完成此任务的解决方案将是有用的基于使用人工数据和实际数据的测试的实验结果。
In this paper, we advocate a learning task that deals with the orders of objects, which we call the Supervised Ordering task. The term order means a sequence of objects sorted according to a specific property, such as preference, size, cost. The aim of this task is to acquire the rule that is used for estimating an appropriate order of a given unordered object set. The rule is acquired from sample orders consisting of objects represented by attribute vectors. Developing solution methods for accomplishing this task would be useful, for example, in carrying out a questionnaire survey to predict one’s preferences. We develop a solution method based on a regression technique imposing a Thurstone’s model and evaluate the performance and characteristics of these methods based on the experimental results of tests using both artificial data and real data.