This paper presents an application of Information Gain (IG) attribute evaluation to the classification of the sonar targets with C4.5 decision tree. C4.5 decision tree has inherited ability to focus on relevant features and ignore irrelevant ones, but such method may also benefit from independent feature selection. In our experiments, IG attribute evaluation significantly improves C4.5 decision...

In the last decade, multi-robot systems are used in several applications like for example, the army, the intervention areas presenting danger to human life, the management of natural disasters, the environmental monitoring, exploration and agriculture. The integrity of localization of the robots must be ensured in order to achieve their mission in the best conditions. Robots are equipped with p...

Measurements over the return signal are an integral part of lidar remote sensing by which we gather information about the characteristics of specific targets. But how much information is gained by performing a given lidar measurement? By defining Shannon's mutual information of a lidar observation, here we consider the bits of information content on the measurement and describe mathematically t...

The engine that powers quantum cryptography is the principle that there are no physical means for gathering information about the identity of a quantum system’s state (when it is known to be prepared in one of a set of nonorthogonal states) without disturbing the system in a statistically detectable way. This situation is often mistakenly described as a consequence of the “Heisenberg uncertaint...

Information theory is one of the widely used branches of applied probability theory. When probability is used to describe the state of a system implies that the state has some uncertainty. Some probability distributions indicate more uncertainty than others as they are not created equal. We can come up with some mathematical entity which returns a measure of uncertainty after taking a probabili...

Weighted association rule mining reflects semantic significance of item by considering its weight. Classification constructs the classifier and predicts the new data instance. This paper proposes compact weighted class association rule mining method, which applies weighted association rule mining in the classification and constructs an efficient weighted associative classifier. This proposed as...

The present study uses eye-tracking to study information access in the context of category learning. Prior research has pointed toward the importance of probability gain, the increase in the chance of getting an answer correct, as a key variable in determining what information is considered most useful to acquire before making a classification decision. We manipulate the probability gain of thr...

Contrast gain control has been found to be an important and common mechanism underlying the visual system's adaptation to the statistics of the visual scenes. Yet, the biophysical factors and computational rules governing its operation remain elusive. In this paper, we first studied the basic factors underlying contrast gain tuning in a neuronal model. We found that the nonlinearities (threshol...

Mutual information and its causal variant, directed information, have been widely used to quantitatively characterize the performance of biological sensing and information transduction. However, once coupled with selection in response to decisionmaking, the sensing signal could have more or less evolutionary value than its mutual or directed information. In this work, we show that an individual...