Effective Evolutionary Multilabel Feature Selection under a Budget Constraint
نویسندگان
چکیده
منابع مشابه
Feature Selection for Classification under Anonymity Constraint
Over the last decade, proliferation of various online platforms and their increasing adoption by billions of users have heightened the privacy risk of a user enormously. In fact, security researchers have shown that sparse microdata containing information about online activities of a user although anonymous, can still be used to disclose the identity of the user by cross-referencing the data wi...
متن کاملGraphical Feature Selection for Multilabel Classification Tasks
Multilabel was introduced as an extension of multi-class classification to cope with complex learning tasks in different application fields as text categorization, video o music tagging or bio-medical labeling of gene functions or diseases. The aim is to predict a set of classes (called labels in this context) instead of a single one. In this paper we deal with the problem of feature selection ...
متن کاملLearning and Feature Selection under Budget Constraints in Crowdsourcing
The cost of data acquisition limits the amount of labeled data available for machine learning algorithms, both at the training and the testing phase. This problem is further exacerbated in real-world crowdsourcing applications where labels are aggregated from multiple noisy answers. We tackle classification problems where the underlying feature labels are unknown to the algorithm and a (noisy) ...
متن کاملOptimal Coding Subgraph Selection under Survivability Constraint
Nowadays communication networks have become an essential and inevitable part of human life. Hence, there is an ever-increasing need for expanding bandwidth, decreasing delay and data transfer costs. These needs necessitate the efficient use of network facilities. Network coding is a new paradigm that allows the intermediate nodes in a network to create new packets by combining the packets recei...
متن کاملOptimal Feature Selection via Evolutionary Algorithms and Constraint Solving
In software development, product lines especially with feature models are promising technologies to manage variability of software products. A new challenge in deriving software products from the product line is not only to select a set of features, which do not incur any feature inconsistencies, but to optimize multiple objectives (e.g. cost minimization and maximization of feature reuse) at t...
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: Complexity
سال: 2018
ISSN: 1076-2787,1099-0526
DOI: 10.1155/2018/3241489