This paper shows a method to reduce the number of input variables to represent incompletely specified index generation functions. A compound variable is generated by EXORing the o...
This paper investigates the use of influence from foreign stock markets (intermarket influence) to predict the trading signals, buy, hold and sell, of the of a given stock market....
Chandima Tilakaratne, Musa A. Mammadov, Sidney A. ...
In this paper, we propose a neuro-genetic stock prediction system based on financial correlation between companies. A number of input variables are produced from the relatively h...
Classification problems with functionally structured input variables arise naturally in many applications. In a clinical domain, for example, input variables could include a time...
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
The techniques for making decisions, i.e., branching, play a central role in complete methods for solving structured CSP instances. In practice, there are cases when SAT solvers be...
The paper presents a new technique for designing a concurrently checking combinational circuit. The technique is based on partitioning the circuit into two independent sub-circuit...
Osnat Keren, Ilya Levin, Vladimir Ostrovsky, Beni ...
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
Fernando Mateo, Dusan Sovilj, Rafael Gadea Giron&e...
In the search for metrics that can predict the presence of vulnerabilities early in the software life cycle, there may be some benefit to choosing metrics from the non-security rea...