Computer Science – Information Retrieval
Scientific paper
2011-08-28
Computer Science
Information Retrieval
Scientific paper
The paper shows that ranking information units by quantum probability differs from ranking them by classical probability provided the same data used for parameter estimation. As probability of detection (also known as recall or power) and probability of false alarm (also known as fallout or size) measure the quality of ranking, we point out and show that ranking by quantum probability yields higher probability of detection than ranking by classical probability provided a given probability of false alarm and the same parameter estimation data. As quantum probability provided more effective detectors than classical probability within other domains that data management, we conjecture that, the system that can implement subspace-based detectors shall be more effective than a system which implements a set-based detectors, the effectiveness being calculated as expected recall estimated over the probability of detection and expected fallout estimated over the probability of false alarm.
No associations
LandOfFree
Improving Ranking Using Quantum Probability does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Improving Ranking Using Quantum Probability, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Improving Ranking Using Quantum Probability will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-97731