Concept learning with three types of verbal labels
نویسندگان
چکیده
منابع مشابه
Types of Cost in Inductive Concept Learning
Inductive concept learning is the task of learning to assign cases to a discrete set of classes. In real-world applications of concept learning, there are many different types of cost involved. The majority of the machine learning literature ignores all types of cost (unless accuracy is interpreted as a type of cost measure). A few papers have investigated the cost of misclassification errors. ...
متن کاملLearning with Multiple Labels
In this paper, we study a special kind of learning problem in which each training instance is given a set of (or distribution over) candidate class labels and only one of the candidate labels is the correct one. Such a problem can occur, e.g., in an information retrieval setting where a set of words is associated with an image, or if classes labels are organized hierarchically. We propose a nov...
متن کاملLearning with Noisy Labels
In this paper, we theoretically study the problem of binary classification in the presence of random classification noise — the learner, instead of seeing the true labels, sees labels that have independently been flipped with some small probability. Moreover, random label noise is class-conditional — the flip probability depends on the class. We provide two approaches to suitably modify any giv...
متن کاملRelearning of verbal labels in semantic dementia.
Semantic dementia is a degenerative disorder of temporal neocortex characterised by loss of word and object concepts. There is limited evidence that temporary relearning of lost vocabulary may be possible, attributed to sparing of hippocampal structures. However, learning is variable across patients and factors underlying learning success are poorly understood. The study investigated relearning...
متن کاملLearning with Biased Complementary Labels
In this paper we study the classi cation problem in which we have access to easily obtainable surrogate for the true labels, namely complementary labels, which specify classes that observations do not belong to. For example, if one is familiar with monkeys but not meerkats, a meerkat is easily identi ed as not a monkey, so “monkey” is annotated to the meerkat as a complementary label. Speci cal...
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: Psychonomic Science
سال: 1968
ISSN: 0033-3131
DOI: 10.3758/bf03331492