Activation of bipolar prototypes in attribute inferences
نویسندگان
چکیده
منابع مشابه
Unsupervised learning of prototypes and attribute weights
In this paper, we introduce new algorithms that perform clustering and feature weighting simultaneously and in an unsupervised manner. The proposed algorithms are computationally and implementationally simple, and learn a di1erent set of feature weights for each identi2ed cluster. The cluster dependent feature weights o1er two advantages. First, they guide the clustering process to partition th...
متن کاملUnsupervised Learning of Prototypes and Attribute Weights Summary
In this paper, we introduce new algorithms that perform clustering and feature weighting simultaneously and in an unsupervised manner. The proposed algorithms are computationally and implementation ally simple, and learn a different set of feature weights for each identified cluster. The cluster dependent feature weights offer two advantages. First, they guide the clustering process to partitio...
متن کاملShifting Mean Activation towards Zero with Bipolar Activation Functions
We propose a simple extension to the ReLU-family of activation functions that allows them to shift the mean activation across a layer towards zero. Combined with proper weight initialization, this alleviates the need for normalization layers. We explore the training of deep vanilla recurrent neural networks (RNNs) with up to 144 layers, and show that bipolar activation functions help learning i...
متن کاملShifting Mean Activation Towards Zero with Bipolar Activation Functions
We propose a simple extension to the ReLU-family of activation functions that allows them to shift the mean activation across a layer towards zero. Combined with proper weight initialization, this alleviates the need for normalization layers. We explore the training of deep vanilla recurrent neural networks (RNNs) with up to 144 layers, and show that bipolar activation functions help learning i...
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ژورنال
عنوان ژورنال: Journal of Experimental Social Psychology
سال: 1981
ISSN: 0022-1031
DOI: 10.1016/0022-1031(81)90035-4