We examine a Markovian model for the price evolution of a stock, in which the probability of local upward or downward movement is arbitrarily dependent on the current price itself...
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
E-AoSAS++ is an aspect-oriented software architecture style for embedded software. It basically gives the style in which a set of state transition machines organizes a software. W...
This chapter describes Hume: a functionally-based language for programming with bounded resource usage, including time and space properties. The purpose of the Hume language design...
Man-Machine Interaction (MMI) Systems that utilize multimodal information about users’ current emotional state are presently at the forefront of interest of the computer vision ...