Unlearning fear

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Unlearning V2

This study investigates how child speakers of a verb second (V2) language acquire the supposedly more basic SVO word order of English. Data comes from approximately 100 Norwegian school children aged 7 to 12 in their acquisition of three related syntactic constructions. The focus of the investigation is the extent of language transfer from the L1, related to questions of markedness. It is shown...

متن کامل

Unlearning in health care.

Learning in health care is essential if healthcare organisations are to tackle a challenging quality of care agenda. Yet while we know a reasonable amount about the nature of learning, how learning occurs, the forms it can take, and the routines that encourage it to happen within organisations, we know very little about the nature and processes of unlearning. We review the literature addressing...

متن کامل

Unlearning from Demonstration

When doing learning from demonstration, it is often the case that the demonstrator provides corrective examples to fix errant behavior by the agent or robot. We present a set of algorithms which use this corrective data to identify and remove noisy examples in datasets which caused errant classifications, and ultimately errant behavior. The objective is to actually modify the source datasets ra...

متن کامل

When unlearning helps

Overregularization seen in child language learning, for example, verb tense constructs, involves abandoning correct behaviours for incorrect ones and later reverting to correct behaviours. Quite a number of other child development phenomena also follow this U-shaped form of learning, unlearning and relearning. A decisive learner does not do this and, more generally, never abandons an hypothesis...

متن کامل

Linear unlearning for cross-validation

The leave-one-out cross-validation scheme for generalization assessment of neural network models is computationally expensive due to replicated training sessions. In this paper we suggest linear unlearning of examples as an approach to approximative cross-validation. Further, we discuss the possibility of exploiting the ensemble of networks o ered by leave-one-out for performing ensemble predic...

متن کامل

ذخیره 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: Nature Reviews Neuroscience

سال: 2014

ISSN: 1471-003X,1471-0048

DOI: 10.1038/nrn3695