“Our claim is that knowledge is deep–seated in the classificatory abilities of human beings and other species. For example, knowledge about the environment is primarily manifested as an ability to classify a variety of situations from the point of view of survival in the real world : : : Classification on more abstract levels, seems to be a key issue in reasoning, learning and decision making, ...

We introduce a publicly available data set which covers examples of Human-Robot Interaction (HRI) scenarios. These scenarios are recorded using the audio-visual robot head POPEYE, equipped with two cameras and four microphones. All the recordings were performed in a standard meeting room enclosing all the challenges of natural indoor scenes. This data set provides a basis to test and benchmark ...

This paper conducts experiments with three skewed data sets, seeking to demonstrate problems when skewed data is used, and identifying counter problems when data is balanced. The basic data mining algorithms of decision tree, regression-based, and neural network models are considered, using both categorical and continuous data. Two of the data sets have binary outcomes, while the third has a se...

multiple sclerosis (ms) is a chronic disease of central nervous system. the multiple sclerosis information system (msis), such as other information system (is), depends on identification, collection and processing of data for producing useful information. lack of the integrated is for collecting standard data causes undesirable effects on exchanging, comparing, and managing. the aim of this stu...

nowadays, hidden markov models are extensively utilized for modeling stochastic processes. these models help researchers establish and implement the desired theoretical foundations using markov algorithms such as forward one. however, using stability hypothesis and the mean statistic for determining the values of markov functions on unstable statistical data set has led to a significant reducti...

Abstract Achieving a robust long‐term deployment with mobile robots in the agriculture domain is both demanded and challenging task. The possibility to have autonomous platforms field performing repetitive tasks, such as monitoring or harvesting crops, collides difficulties posed by always‐changing appearance of environment due seasonality. With this scope mind, we report an ongoing effort robo...