The divergent autoencoder (DIVA) model of category learning
نویسندگان
چکیده
منابع مشابه
The Divergent Autoencoder (DIVA) Account of Human Category Learning
The DIVA network model is introduced based on the novel computational principle of divergent autoencoding. DIVA produces excellent fits to classic data sets from Shepard, Hovland & Jenkins (1961) and Medin & Schafffer (1978). DIVA is also resistant to catastrophic interference. Such results have not previously been demonstrated by a model that is not committed to both localist coding of exempla...
متن کاملEvaluating the Divergent Auto-Encoder (DIVA) as a Machine Learning Algorithm
The divergent auto-encoder (Kurtz, 2007) offers an alternative to the multi-layer perceptron (MLP) for classification learning via back-propagation. The artificial neural network classifies based on its success reconstructing the input features (from shared, reduced dimensionality recodings) in terms of a generative model of each category. Successful simulations of rapid human learning of eleme...
متن کاملthe use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach
abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...
15 صفحه اولthe effects of integrating cooperative learning into vocabulary learning of elementary school students
the purpose of the research is to examine if integrating cooperative learning into vocabulary learning helps to increase word recognition of students in an elementary school in iran. it tries to investigate whether cooperative learning approach enables students to improve their language learning. this research used stad (students team achievement division) as a cooperative model in this study. ...
15 صفحه اولCategory Learning 1 Running head: A MODEL OF CATEGORY LEARNING SUSTAIN: A Network Model of Category Learning
SUSTAIN (Supervised and Unsupervised STrati ed Adaptive Incremental Network) is a model of how humans learn categories from examples. SUSTAIN initially assumes a simple category structure. If simple solutions prove inadequate and SUSTAIN is confronted with a surprising event (e.g., it is told that a bat is a mammal instead of a bird), SUSTAIN recruits an additional cluster to represent the surp...
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 Bulletin & Review
سال: 2007
ISSN: 1069-9384,1531-5320
DOI: 10.3758/bf03196806