Eliciting good teaching from humans for machine learners
نویسندگان
چکیده
منابع مشابه
Machine Teaching for Bayesian Learners in the Exponential Family
What if there is a teacher who knows the learning goal and wants to design good training data for a machine learner? We propose an optimal teaching framework aimed at learners who employ Bayesian models. Our framework is expressed as an optimization problem over teaching examples that balance the future loss of the learner and the effort of the teacher. This optimization problem is in general h...
متن کاملHow Do Humans Teach: On Curriculum Design for Machine Learners
Existing machine-learning work has shown that algorithms can benefit from curricula—learning first on simple examples before moving to more difficult examples. While most existing work on curriculum learning focuses on developing automatic methods to iteratively select training examples with increasing difficulty tailored to the current ability of the learner, relatively little attention has be...
متن کاملActive Teaching for Inductive Learners
We propose and study a new intelligent teaching paradigm called active teaching in this paper. In contrast to active learning, we assume that the learner can only passively conduct inductive learning from the given examples, but the teacher (oracle) can actively provide “good” examples to the learner, in order to speed up the teaching (learning) process. We establish the framework with four spe...
متن کاملUsing Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners
We investigate a problem at the intersection of machine learning and security: training-set attacks on machine learners. In such attacks an attacker contaminates the training data so that a specific learning algorithm would produce a model profitable to the attacker. Understanding training-set attacks is important as more intelligent agents (e.g. spam filters and robots) are equipped with learn...
متن کاملTeaching Randomized Learners
The present paper introduces a new model for teaching randomized learners. Our new model, though based on the classical teaching dimension model, allows to study the influence of various parameters such as the learner’s memory size, its ability to provide or to not provide feedback, and the influence of the order in which examples are presented. Furthermore, within the new model it is possible ...
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: Artificial Intelligence
سال: 2014
ISSN: 0004-3702
DOI: 10.1016/j.artint.2014.08.005