The machine learning community has recently devoted much attention to the problem of inferring causal relationships from statistical data. Most of this work has focused on uncovering connections among scalar random variables. We generalize existing methods to apply to collections of multi-dimensional random vectors, focusing on techniques applicable to linear models. The performance of the resu...

In this Thesis we present a comprehensive study of perturbative and non-perturbative non-Abelian gauge theories in the light of gauge-fixing procedures, focusing our attention on the BRST formalism in Yang-Mills theory. We propose first a model to re-write the Faddeev-Popov quantisation method in terms of grouptheoretical techniques and then we give a possible way to solve the no-go theorem of ...

We present a novel POMDP planning algorithm called heuristic search value iteration (HSVI). HSVI is an anytime algorithm that returns a policy and a provable bound on its regret with respect to the optimal policy. HSVI gets its power by combining two well-known techniques: attention-focusing search heuristics and piecewise linear convex representations of the value function. HSVI’s soundness an...

Interactive safety-critical applications have specific requirements in the design cycle that cannot be completely captured by traditional techniques. In this paper we present a proposal aiming to support designers in analysing the space of design solutions and improve both usability and safety of the system considered. This is achieved by focusing the attention of designers on what can happen w...

This study set out to explore whether different input enhancement tasks as implicit instruction techniques had any significant impact on the intake of causative verbs in English as a foreign language among Iranian EFL learners. For this purpose, three intact classes consisting of 75 male and female intermediate L2 learners were randomly divided into three conditions: simultaneous grammar consci...

The pulse width modulation (PWM) dimming mode features good linearity and has been widely used for driving high-brightness light-emitting diodes (HBLEDs), in which the brightness change is reached by modulating duty cycle of signal to regulate average current flowing through LEDs. However, current-illuminance characteristic curve most LEDs nonlinear nature. Namely, under same lighting power fed...

Recently, electroencephalogram-based emotion recognition has become crucial in enabling the Human-Computer Interaction (HCI) system to more intelligent. Due outstanding applications of recognition, e.g., person-based decision making, mind-machine interfacing, cognitive interaction, affect detection, feeling etc., successful attracting recent hype AI-empowered research. Therefore, numerous studi...