Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
- The model of a simple perceptron using phase-encoded inputs and complex-valued weights is presented. Multilayer two-input and three-input complex-valued neurons (CVNs) are implem...
Howard E. Michel, David Rancour, Sushanth Iringent...
Recent work on organisational knowledge suggests that, in addition to cultivating the 'knowledge spiral', organisations need to focus on facilitating forms of 'know...
Search results clustering problem is defined as an automatic, on-line grouping of similar documents in a search results list returned from a search engine. In this paper we present...
Feature structures are informational elements that have been used in several linguistic theories and in computational systems for natural-language processing. A logicaJ calculus h...