Sugarcane for Diversified Uses
نویسندگان
چکیده
منابع مشابه
Diversified Particle Swarm Optimization for Hybrid Flowshop Scheduling
The aim of this paper is to propose a new particle swarm optimization algorithm to solve a hybrid flowshop scheduling with sequence-dependent setup times problem, which is of great importance in the industrial context. This algorithm is called diversified particle swarm optimization algorithm which is a generalization of particle swarm optimization algorithm and inspired by an anarchic society ...
متن کاملDiversified Utility Maximization for Recommendations
Consider the problem of recommending items to a group of users subject to the diversity of their tastes. The goal is to recommend a list of items, such that the interests of each user are covered. We cast this problem as maximizing a diversified utility function of the group, the optimal solution of which can be found greedily. We conduct a user study in order to evaluate the performance of the...
متن کاملModeling Diversified Preference for Flowers
1. Introduction With the maturity of the consumers' life, its importance is growingly recognized to measure and characterize their diversified preference of consumers. Here, we extend Thurstone's classical model (1927) expressing the discrimination of two stimuli and develop a unified maximum likelihood procedure. It can analyze various types of preference test and effective when fairly a large...
متن کاملCompact Aspect Embedding for Diversified Query Expansions
Diversified query expansion (DQE) based approaches aim to select a set of expansion terms with less redundancy among them while covering as many query aspects as possible. Recently they have experimentally demonstrate their effectiveness for the task of search result diversification. One challenge faced by existing DQE approaches is to ensure the aspect coverage. In this paper, we propose a nov...
متن کاملDiversified SVM Ensembles for Large Data Sets
Recently, the core vector machine (CVM) has shown significant speedups on classification and regression problems with massive data sets. Its performance is also almost as accurate as other state-ofthe-art SVM implementations. By incorporating the orthogonality constraints to diversify the CVM ensembles, this turns out to speed up the maximum margin discriminant analysis (MMDA) algorithm. Extens...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronic Journal of Plant Breeding
سال: 2016
ISSN: 0975-928X
DOI: 10.5958/0975-928x.2016.00087.9