We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
- 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...
We present the design and a prototype of a lab course on computer security, the necessity of which arises from the students' need to complement course work by hands-on experi...
In some information retrieval scenarios, for example internal help desk systems, texts are entered into the document collection without proofreading. This can result in a relative...
Data with temporal information is constantly generated, sampled, gathered, and analyzed in different domains, such as medicine, finance, engineering, environmental sciences, and e...