In recent years, many systems have been developed which aim at helping users to find pieces of information or other objects that are in accordance with their personal interests. In these systems, machine learning methods are often used to acquire the user interest profile. Frequently user interests drift with time. The ability to adapt fast to the current user's interests is an important featur...

Restless bandits model the exploration vs. exploitation trade-off in a changing (non-stationary) world. Restless bandits have been studied in both the context of continuously-changing (drifting) and change-point (sudden) restlessness. In this work, we study specific classes of drifting restless bandits selected for their relevance to modelling an online website optimization process. The contrib...

Silicon nanowire (SiNW) sensors have been developed by using top-down fabrication that is CMOS (complementary metal-oxide-semiconductor) compatible for resistive chemical detection with fast response and high sensitivity. Top-down fabrication by electron beam lithography and reactive ion etching of a silicon on insulator (SOI) substrate enables compatibility with the CMOS fabrication process, a...

The transport properties of O− ions in water vapour drifting in DC fields were obtained by using the Monte Carlo simulation technique with the scattering cross section sets assessed on the basis of Denpoh and Nanbu’s technique and available experimental data. A swarm method is applied to determine recommended cross section set. For the first time in this work we present the transport parameters...

This paper presents the evaluation of the translation quality and Cross-Lingual Information Retrieval (CLIR) performance when using session information as the context of queries. The hypothesis is that previous queries provide context that helps to solve ambiguous translations in the current query. We tested several strategies on the TREC 2010 Session track dataset, which includes query reformu...

The transition from Townsend to glow discharge is investigated numerically in one space dimension in full parameter space within the classical model: with electrons and positive ions drifting in the local electric field, impact ionization by electrons (alpha process), secondary electron emission from the cathode (gamma process) and space charge effects. We also perform a systematic analytical s...

We incorporate fading and reset mechanisms in an enhanced fine granularity scalability algorithm to reduce the drifting error at low bit rate while still maintaining 1.5dB PSNR gain at high bit rate over the current MPEG-4 fine granularity scalability. Many of previous works use enhancement layers to predict enhancement layers so as to increase the compression efficiency. Drifting error occurs ...

We report experiments on thermally driven convection in an inclined layer of large aspect ratio in a fluid of Prandtl number sigma approximately 1. We observed a number of new nonlinear, mostly spatiotemporally chaotic, states. At small angles of inclination we found longitudinal rolls, subharmonic oscillations, Busse oscillations, undulation chaos, and crawling rolls. At larger angles, in the ...

The drill & blast method is still the most typical method for medium to hard rock conditions. It can be applied to a wide range of rock conditions. Some of its features include versatile equipment, fast start-up and relatively low capital cost tied to the equipment. On the other hand, the cyclic nature of the drill & blast method requires good work site organization. Blast vibrations and noise ...

We consider the question of the stability of evolutionary algorithms to gradual changes,or drift, in the target concept. We define an algorithm to be resistant to drift if, forsome inverse polynomial drift rate in the target function, it converges to accuracy 1 − ǫwith polynomial resources, and then stays within that accuracy indefinitely, except withprobability ǫ at any one tim...