Currently all important, low-level, unsupervised network learning algorithms follow the paradigm of Hebb, where input and output activity are correlated to change the connection strength of a synapse. However, as a consequence, classical Hebbian learning always carries a potentially destabilizing autocorrelation term, which is due to the fact that every input is in a weighted form reflected in ...

Currently all important, low-level, unsupervised network learning algorithms follow the paradigm of Hebb, where inputand output activity are correlated to change the connection strength of a synapse. However, as a consequence, classical Hebbian learning always carries a potentially destabilising autocorrelation term which is due to the fact that every input is in a weighted form reflected in th...

Mining high utility itemsets from a transactional database refers to the discovery of itemsets with high utility like profits. It is an extension of the frequent pattern mining. Although a number of relevant algorithms have been proposed in recent years, they incur the problem of producing a large number of candidate itemsets for high utility itemsets. Such a large number of candidate itemsets ...

Approval voting is a well-known voting procedure used, among others, for electing committees, where each voter casts a ballot consisting of a set of approved candidates (without any cardinality constraint). Two prominent rules for electing committees using approval voting are the standard rule (also called minisum), which selects the set of candidates (possibly subject to some cardinality const...

We construct a. family of symmet ric weight connect ion networks that take expon ential time to reach a stable configuration when th e sequential steepest descent update rule is used .

This paper estimates the impact of income on the body weight and clinical weight classification of elderly Americans using a natural experiment that led otherwise identical retirees to receive significantly different Social Security payments based on their year of birth. We estimate models of instrumental variables using data from the National Health Interview Surveys and find no significant ef...

We present a novel type of weighted scale-free network model, in which the weight grows independently of the attachment of new nodes. The evolution of this network is thus determined not only by the preferential attachment of new nodes to existing nodes but also by self-growing weight of existing links based on a simple weight-driven rule. This model is analytically tractable, so that the vario...

my paper has two parts. first, i talk about the golden rule. after introducing the rule and its global importance, i explain why many scholars dismiss it as a vague proverb that leads to absurdities when we try to formulate it clearly. i defend the golden rule against such objections. second, i talk about the golden rule in persia and islam; i consider persian sources (muslim and non-muslim) an...