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Several financial indicators or attributes are used to evaluate the performance of stocks when constructing and managing a portfolio. It is advantageous to utilize multiple algorithms for analyzing and combining these financial indicators, instead of using and optimizing a single algorithm. In this paper, we use the recently developed Combinatorial Fusion Analysis (CFA) to improve portfolio performance...
Patients with serious diseases, such as cancer, often must consider and choose between multiple clinical trials. Patients are often concerned that participation in one clinical trial may preclude their participation in another trial. We are developing a system to help patients in this decision making process, focusing on pediatric cancer where clinical trial participation is very high. In this paper,...
When tasked with comparing two images on a screen, a subject's eye movement can be captured and analyzed in order to understand the process of preference formation. The process of comparing two images and developing a preference is analyzed based on a sample dataset. Although it is known in general that our preferences are shaped by our past experiences, a systemic understanding of the factors which...
Information processing in the brain or other decision making systems, such as in multimedia, involves fusion of information from multiple sensors, sources, and systems at the data, feature or decision level. Combinatorial Fusion Analysis (CFA), a recently developed information fusion paradigm, uses a combinatorial method to model the decision space and the Rank-Score Characteristic (RSC) function...
Information processing in the brain or other decision making systems, such as in multimedia, involves fusion of information from multiple sensors, sources, and systems at the data, feature or decision level. Combinatorial Fusion Analysis (CFA), a recently developed information fusion paradigm, uses a combinatorial method to model the decision space and the Rank-Score Characteristic (RSC) function...
In Combinatorial Fusion Analysis (CFA), a set of multiple scoring systems is used to facilitate integration and fusion of data, features, and/or decisions so as to improve the quality of resultant decisions and actions. Specifically, in a recently developed information fusion method, each system consists of a score function, a rank function, and a Rank-Score Characteristic (RSC) function. The RSC...
There are many situations in which a joint decision, based on the observations or decisions of multiple individuals, is desired. The challenge is determining when a combined decision is better than each of the individual systems, along with choosing the best way to perform the combination. It has been shown that the diversity between systems plays a role in the performance of their fusion. This study...
Patients with serious long-term disease often search for clinical trial information on their own, using sites such as ClinicalTrials.gov. We are developing a patient-focused search tool for clinical trials. Since patients are often concerned that participation in one clinical trial may preclude their participation in other trials, one of the planned features of this system will be the ability to analyze...
Patients facing a serious disease often want to be able to search for relevant clinical trials for new or more effective alternative treatments. The NIH makes all of its trials available on a website, in fact, for this purpose. Its search facility, however, is difficult to use and requires the patient to sift through lengthy text descriptions for relevant information. Our overall aim is to build a...
Decision-making tasks that are based on perception have been performed routinely by human beings in daily life and decision-makers in daily work. It has been observed that the combination of two perception-based decisions could be better than one, provided that the decision-makers communicate with each other and jointly adopt the most confident judgment; simply select the most confident judgment without...
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