Salience Assignment for Multiple-Instance Regression
نویسنده
چکیده
We present a Multiple-Instance Learning (MIL) algorithm for determining the salience of each item in each bag with respect to the bag’s real-valued label. We use an alternating-projections constrained optimization approach to simultaneously learn a regression model and estimate all salience values. We evaluate this algorithm on a significant real-world problem, crop yield modeling, and demonstrate that it provides more extensive, intuitive, and stable salience models than Primary-Instance Regression, which selects a single relevant item from each bag.
منابع مشابه
Salience Theory and Pricing Stock of Corporates in Tehran Stock Exchange
How the investors react to the received information plays a crucial role in determining the return of stock exchange market. Supply and demand based upon incorrect decisions lead to the price deviation of inherent values. This paper aims to study the impact of salience phenomenon on disproportionate pricing and investor overreaction in the corporates in Tehran stock exchange. Research methodolo...
متن کاملMultiple Instance Learning with the Optimal Sub-Pattern Assignment Metric
Multiple instance data are sets or multi-sets of unordered elements. Using metrics or distances for sets, we propose an approach to several multiple instance learning tasks, such as clustering (unsupervised learning), classification (supervised learning), and novelty detection (semi-supervised learning). In particular, we introduce the Optimal Sub-Pattern Assignment metric to multiple instance ...
متن کاملBeing a departmental head – what does it mean? Emphasizing the salience and shades in medical academia
Dear Editor, When an academician or clinician assumes the chair of department, multiple responsibilities dawn upon the chair that requires appropriate analysis and effective decision-making skills. Head of the department is uniquely poised to translate the organisational goals into the collective performance of the departmental members. Headship is an iterative process which necessitates ...
متن کاملAn Examination of Factors Influencing Repatriates’ Loyalty
When research on repatriation has shown that repatriates quit within one year of return from a foreign assignment, this study attempts to find what makes some repatriates stay committed and loyal to their companies when their colleagues are quitting and joining their immediate competitors? The research further extends to explore - factors determining repatriates loyalty, repatriates’ most desir...
متن کاملMultiple Instance Regression
This paper introduces multiple instance regression, a variant of multiple regression in which each data point may be described by more than one vector of values for the independent variables. The goals of this work are to (1) understand the computational complexity of the multiple instance regression task and (2) develop an efficient algorithm that is superior to ordinary multiple regression wh...
متن کامل