38 research outputs found
Gossip Learning with Linear Models on Fully Distributed Data
Machine learning over fully distributed data poses an important problem in
peer-to-peer (P2P) applications. In this model we have one data record at each
network node, but without the possibility to move raw data due to privacy
considerations. For example, user profiles, ratings, history, or sensor
readings can represent this case. This problem is difficult, because there is
no possibility to learn local models, the system model offers almost no
guarantees for reliability, yet the communication cost needs to be kept low.
Here we propose gossip learning, a generic approach that is based on multiple
models taking random walks over the network in parallel, while applying an
online learning algorithm to improve themselves, and getting combined via
ensemble learning methods. We present an instantiation of this approach for the
case of classification with linear models. Our main contribution is an ensemble
learning method which---through the continuous combination of the models in the
network---implements a virtual weighted voting mechanism over an exponential
number of models at practically no extra cost as compared to independent random
walks. We prove the convergence of the method theoretically, and perform
extensive experiments on benchmark datasets. Our experimental analysis
demonstrates the performance and robustness of the proposed approach.Comment: The paper was published in the journal Concurrency and Computation:
Practice and Experience
http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291532-0634 (DOI:
http://dx.doi.org/10.1002/cpe.2858). The modifications are based on the
suggestions from the reviewer
Bioactive constituents and shelf-life of sweet potato (Ipomoea batatas L.) leaves
We aimed to evaluate the green biomass’ of sweet potato (Ipomoea batatas L.) quality, through quantitative analysis of microelements, colour characteristics, and UHPLC-MS screening of bioactive constituents. The shelf life examination included sealed raw sweet potato leaves in plastic packs were stored at 6°C and 12°C and the microbiological characteristics were monitored for 2 weeks, through enumeration of mesophilic total plate count, total fungi count, Enterobacteriaceae and mesophilic aerobic spores. We found, that the sweet potato leaves can be considered as the source of calcium, magnesium and phosphorus among the minerals, of which calcium is the most abundant. We identified 17 types of amino acids, 7 vitamins, mainly vitamins belonging to the Vitamin B family. Furthermore, it contained carboxylic acids, flavonoids, polyphenols and aromatic compounds. The sweet potato leaves stored at 6°C was of satisfactory microbiological quality on day 14. Our data suggest that the sweet potato leaves could be a valuable source for healthy nutrition
Nem kristályos fĂ©lvezetĹ‘k szerkezetĂ©nek Ă©s elektronszerkezetĂ©nek számĂtĂłgĂ©pes szimuláciĂłja. = Computer simulation of structure and electronic structure of noncrystalline semiconductors.
A pályázat keretĂ©ben kondenzált fázisĂş, nem kristályos szerkezetű rendszerek atomi szintű számĂtĂłgĂ©pes szimuláciĂłjával foglalkoztunk. Három elem alkotta ezeket a rendszereket: szĂ©n, szilĂcium Ă©s szelĂ©n. A rendezetlen szerkezetű kondenzált fázisok mikroszkopikus leĂrására alkalmazott számĂtĂłgĂ©pes szimuláciĂłkat alapvetĹ‘en kĂ©t nagy csoportba oszthatjuk: az elsĹ‘ csoportba tartoznak a sztohasztikus alapon működĹ‘ Monte Carlo tĂpusĂş szimuláciĂłk, mĂg a másodikba determinisztikus molekuladinamikai mĂłdszerek. Mi mindkĂ©t mĂłdszert alkalmaztuk kutatásaink során. A számĂtĂłgĂ©pes kĂłdokat magunk fejlesztettĂĽk ki. Vizsgáltuk az amorf szilĂcium atomi szintű szerkezetĂ©t, ehhez kapcsolĂłdĂłan az elektronszerkezetĂ©t. Egy Ăşj hibahelyet fedeztĂĽnk fel az amorf szilĂciumban. Továbbá a nanocsövek szerkezetĂ©nek Ăşjfajta leĂrását adtuk meg Ă©s ennek fĂĽggvĂ©nyĂ©ben vizsgáltuk az elektronszerkezetĂ©t. VĂ©gezetĂĽl a kalkogĂ©n ĂĽvegek modellanyagában, az amorf szelĂ©nben lejátszodĂł fotoindukált tĂ©rfogatváltozás idĹ‘beli lefolyásának mikroszkopikus Ă©s makroszkopikus leĂrását adtuk meg. A kifejlesztett modellĂĽnk alkalmas más kalkogĂ©n ĂĽvegben törtĂ©nĹ‘ fotoindukált tĂ©rfogatváltozás Ă©rtelmezĂ©sĂ©re is. | Condensed phased non-crystalline systems were investigated using atomic scale computer simulations. Structures containing silicon, carbon and selenium atoms were the target of our simulations. There are two possibilities to describe the microscopic properties of such systems: stochastic type Monte Carlo simulations and the deterministic type molecular dynamics simulations. We applied both in this project period. We developed our own computer codes for this purpose. Structure and electronic structure of amorphous silicon were investigated first. We discovered a new type of defect in amorphous silicon. Secondly, we presented a new description of the geometrical structure of nanotubes and in function of this result we investigated the electronic structure of these systems. Finally, we developed a new microscopic model to describe the photoinduced volume changed in chalcogenide glasses which are able to derive the macroscopic time development, too. Our model is convenient to follow the photoinduced volume change in any other chalcogenide glasses