5,647 research outputs found
Modular lifelong machine learning
Deep learning has drastically improved the state-of-the-art in many important fields, including computer vision and natural language processing (LeCun et al., 2015). However, it is expensive to train a deep neural network on a machine learning problem. The overall training cost further increases when one wants to solve additional problems. Lifelong machine learning (LML) develops algorithms that aim to efficiently learn to solve a sequence of problems, which become available one at a time. New problems are solved with less resources by transferring previously learned knowledge. At the same time, an LML algorithm needs to retain good performance on all encountered problems, thus avoiding catastrophic forgetting. Current approaches do not possess all the desired properties of an LML algorithm. First, they primarily focus on preventing catastrophic forgetting (Diaz-Rodriguez et al., 2018; Delange et al., 2021). As a result, they neglect some knowledge transfer properties. Furthermore, they assume that all problems in a sequence share the same input space. Finally, scaling these methods to a large sequence of problems remains a challenge.
Modular approaches to deep learning decompose a deep neural network into sub-networks, referred to as modules. Each module can then be trained to perform an atomic transformation, specialised in processing a distinct subset of inputs. This modular approach to storing knowledge makes it easy to only reuse the subset of modules which are useful for the task at hand.
This thesis introduces a line of research which demonstrates the merits of a modular approach to lifelong machine learning, and its ability to address the aforementioned shortcomings of other methods. Compared to previous work, we show that a modular approach can be used to achieve more LML properties than previously demonstrated. Furthermore, we develop tools which allow modular LML algorithms to scale in order to retain said properties on longer sequences of problems.
First, we introduce HOUDINI, a neurosymbolic framework for modular LML. HOUDINI represents modular deep neural networks as functional programs and accumulates a library of pre-trained modules over a sequence of problems. Given a new problem, we use program synthesis to select a suitable neural architecture, as well as a high-performing combination of pre-trained and new modules. We show that our approach has most of the properties desired from an LML algorithm. Notably, it can perform forward transfer, avoid negative transfer and prevent catastrophic forgetting, even across problems with disparate input domains and problems which require different neural architectures.
Second, we produce a modular LML algorithm which retains the properties of HOUDINI but can also scale to longer sequences of problems. To this end, we fix the choice of a neural architecture and introduce a probabilistic search framework, PICLE, for searching through different module combinations. To apply PICLE, we introduce two probabilistic models over neural modules which allows us to efficiently identify promising module combinations.
Third, we phrase the search over module combinations in modular LML as black-box optimisation, which allows one to make use of methods from the setting of hyperparameter optimisation (HPO). We then develop a new HPO method which marries a multi-fidelity approach with model-based optimisation. We demonstrate that this leads to improvement in anytime performance in the HPO setting and discuss how this can in turn be used to augment modular LML methods.
Overall, this thesis identifies a number of important LML properties, which have not all been attained in past methods, and presents an LML algorithm which can achieve all of them, apart from backward transfer
Systemic Circular Economy Solutions for Fiber Reinforced Composites
This open access book provides an overview of the work undertaken within the FiberEUse project, which developed solutions enhancing the profitability of composite recycling and reuse in value-added products, with a cross-sectorial approach. Glass and carbon fiber reinforced polymers, or composites, are increasingly used as structural materials in many manufacturing sectors like transport, constructions and energy due to their better lightweight and corrosion resistance compared to metals. However, composite recycling is still a challenge since no significant added value in the recycling and reprocessing of composites is demonstrated. FiberEUse developed innovative solutions and business models towards sustainable Circular Economy solutions for post-use composite-made products. Three strategies are presented, namely mechanical recycling of short fibers, thermal recycling of long fibers and modular car parts design for sustainable disassembly and remanufacturing. The validation of the FiberEUse approach within eight industrial demonstrators shows the potentials towards new Circular Economy value-chains for composite materials
Power system adequacy: on two-area models and the capacity procurement decision process
In this work, we explore methodological extensions to modelling practices in power system adequacy for single-area and two-area systems. Specifically, we build on top of some of the practices currently in use in Great Britain (GB) by National Grid, framing this in the context of the current technological transition in which renewable capacity is gradually replacing a considerable share of fossil-fuel-based capacity.
We explore two-area extensions of the methodology currently used in GB to quantify risk in single-area models. By doing this, we also explore the impact of shortfall-sharing policies and wind capacity on risk indices and on the value of interconnection. Furthermore, we propose a model based on the statistical theory of extreme values to characterise statistical dependence across systems in both net demand (defined as power demand minus renewable generation) and capacity surpluses/deficits (defined as power supply minus demand), looking at how statistical dependence strength influences post-interconnection risk and the capacity value of interconnection. Lastly, we analyse the risk profile of a single-area system as reliance on wind capacity grows, looking at risk beyond the standard set of risk indices, which are based on long-term averages. In doing this, we look at trends which are overlooked by the latter, yet are of considerable importance for decision-makers. Moreover, we incorporate a measure of the decision-maker's degree of risk aversion into the current capacity procurement methodology in GB, and look at the impact of this and other parameters on the amount of procured capacity.
We find that shortfall-sharing policies can have a sizeable impact on the interconnector's valuation in terms of security of supply, specially for systems that are significantly smaller than their neighbours. Moreover, this valuation also depends strongly on the risk indices chosen to measure it. We also find that the smoothing effect of parametric extreme value models on tail regions can have a material effect on practical adequacy calculations for post-interconnection risks, and that assumed independence between conventional generation fleets makes capacity shortfall co-occurrences only weakly dependent (in a precisely defined sense) across areas despite much stronger statistical dependence between system net demands. Lastly, as more wind capacity is installed, we find multiple relevant changes in the (single-area) system's risk profile that are not expressed by the standard risk indices: in particular, we find a substantial increase in the frequency of severe events, extreme year-to-year variability of outturn, and a progression to a system with fewer days of potentially much larger shortfalls. Moreover, we show that a high reliance on wind introduces a substantial amount of uncertainty into the calculations due to the limited number of available historic years, which cannot account for the wide range of possible weather conditions the system could experience in the future. Lastly, we also find that the a higher reliance on wind generation also impact the capacity procurement decision process, potentially making the amount of procured capacity considerably more sensitive to parameters such as the value of lost load
中国プーアル市における少数民族向け貧困緩和移転住宅の入居後評価
Poverty alleviation relocation (PAR) is one of the essential poverty reduction initiatives in China. Based on the perspective of habitat theory, this study constructs a set of post-occupancy evaluation indexes for minority resettlement housing and conducts an empirical study in Pu\u27er City, Yunnan Province, to verify the applicability of the evaluation system. After that, the main influencing factors on satisfaction with housing are explored and studied through correlation analysis and regression analysis, and relevant suggestions are made. The study provides some references to guide and help improve the built environment of resettlement projects.北九州市立大
Toward circularity : life cycle-based approach in waste management
Our current “throwaway” lifestyle places great strain on the environment; resources that enter the economy remain for only a short period and are quickly disposed of. This dissertation aims to evaluate the economic and environmental impacts of shifting toward more circular economy (CE) practices that advocate value retention for as long as possible within the economy. The research was carried out by conceptualizing CE and solving real cases focusing on the product end-of-life (EoL) stage. Life cycle assessment (LCA) was the main tool used to assess environmental impacts of different circular scenarios. The tool was paired with life cycle costing (LCC) to evaluate economic performances. Three cases in Finland were assessed: shifting toward source-separated biowaste collection, establishing an agricultural plastics waste recycling system, and waste-to-energy optimization. It was found that CE covers multiple aspects within the value chain; thus, its adoption model can occur at any stage of the value chain, thereby enabling various stakeholders to be more circular through different actions. The cases suggested that being more circular at the EoL stage may improve value retention through secondary material production, waste treatment by-products, and energy recovery. Shifting toward circularity was shown to be economically and environmentally viable. The dissertation illustrated the importance of stakeholders’ collaboration because a circular approach could affect all actors within the supply chain, including manufacturing, the energy sector, and society. The study showed that it is important to quantify environmental impacts of products or services, and to date, LCA remains the most suitable tool for quantifying results and evaluating options. In addition, a combination with LCC will provide more comprehensive results to anticipate any trade-off between environmental and economic aspects. CE must start somewhere, so let it start with organizations evaluating their environmental performance to identify better alternatives, define targets, and foster circularity in the long run.Nykyinen kertakäyttöelämäntapa aiheuttaa painetta ympäristölle. Monia raaka-aineita, joita käytetään taloudessa, hyödynnetään vain lyhyen aikaa ja hävitetään nopeasti. Tämän väitöskirjan tavoitteena on arvioida taloudellisia ja ympäristövaikutuksia yritysten siirtymisessä kohti kiertotalouden (CE) käytäntöjä, joiden avulla pyritään arvon säilyttämiseen mahdollisimman pitkään. Tutkimus toteutettiin tarkastelemalla kiertotalouden käsitteitä ja esittämällä ratkaisumalleja tapaustutkimuksiin, joissa keskityttiin tuotteen elinkaaren loppuvaiheeseen (EoL). Elinkaariarviointi (LCA) oli näissä tärkein työkalu erilaisten kiertoskenaarioiden ympäristövaikutusten arvioinnissa. Tämä työkalu yhdistettiin elinkaarikustannuslaskentaan (LCC) taloudellisen suorituskyvyn arvioimiseksi. Kolme tapaustutkimusta toteutettiin Suomessa: (1) siirtyminen biojätteen lajittelukeräykseen, (2) maatalouden muovijätteen kierrätysjärjestelmän suunnittelu ja (3) jätteen energian optimointi. Tulokset osoittivat, että kiertotalouden avulla voidaan kattaa useita arvoketjun näkökohtia; käyttöönotto voidaan toteuttaa millä tahansa arvoketjun tasolla, ja eri sidosryhmät voivat lisätä kiertoa eri toimien kautta. Tulokset viittaavat siihen, että kierron lisääminen EoL-vaiheessa voisi parantaa arvon säilyttämistä uusiomateriaalituotannon, jätteenkäsittelyn sivutuotteiden ja energian talteenoton avulla. Tyyppitapausten perusteella yritysten siirtyminen kiertotalouskäytäntöihin osoittautui sekä taloudellisesti ja ympäristön kannalta kannattavaksi. Työn tulokset ovat havainnollistaneet sidosryhmien yhteistyön tärkeyttä. Kierron rakentaminen voi vaikuttaa kaikkiin toimitusketjun toimijoihin, mukaan lukien valmistus, energiantuotanto ja yhteiskunta laajemmin. Tutkimus osoitti, että tuotteiden tai palveluiden ympäristövaikutusten kvantitatiivinen mittaaminen on tärkeää, ja LCA on edelleen sopivin väline tulosten kvantifiointiin ja erilaisten vaihtoehtojen keskinäiseen arviointiin. Elinkaarilaskelmaan yhdistettynä elinkaarikustannuslaskentaan saadaan aikaan kattavampia tuloksia, joilla voidaan vertailla ympäristö- ja talousnäkökohtien mahdollisia ristiriitoja. Kiertotaloustyö on aloitettava jostain, ja se voi alkaa siitä, että organisaatiot mittaavat ympäristötehokkuuttaan rakentaakseen parempia vaihtoehtoja, määritelläkseen tavoitteitaan ja edistääkseen kiertojen kehittymistä pitkällä aikavälillä.fi=vertaisarvioitu|en=peerReviewed
Art and Creativity for HIV/AIDS Awareness, Prevention, and Empowerment of Young People in Uganda
Art, youth engagement and informality in the context of HIV prevention have been generally ignored by most researchers and stakeholders within the HIV programming and policy arenas, thus silencing the plight of urban youth infected with and affected by HIV/AIDS. In response, this thesis draws on the case of peri-urban settings of Kampala, Uganda to bring geographies of applied sculpture, HIV/AIDS prevention, and youth empowerment into dialogue, informed by the notions of art having the capacity to move beyond the spaces of galleries into an expanded field, and thus, beyond the visual and into the social spheres. In liaison with local NGOs (The Uganda AIDS Support Organisation - TASO, National Guidance and Empowerment Network for People Living with HIV/AIDS - NGEN+ and Lungujja Community based Health care Organisation – LUCOHECO, it adopts a mixed methodological approach, including applied art and participatory techniques - observation, video, storytelling, and interviews, to understand the lived experiences of young people (15-24 years) in marginalized spaces in Kampala. The thesis first examines the general context of using ethnography and applied social sculpture to explore every day experiences by facilitating the engagement of young people in open communication about the epidemic. This is intended to enable them to act in confronting stigma, taboos, and their precarious existence, while raising their awareness about HIV/AIDS. The thesis then explores the everyday precarious existence of young people in informal settings in Kampala. It proceeds to examine how workshops with these young people allowed collective engagement which, in turn, influenced the creation of artworks envisioned to act as communication tools for raising awareness of HIV/AIDS with the potential for livelihood benefits. Finally, the thesis examines young people’s active involvement in participatory workshops for HIV/AIDS prevention, providing ethnographic evidence regarding the artmaking process, the conversations that ensued as they worked, and the creation of applied objects/forms that enabled them to build their confidence to freely express about the precarities affecting their lives, countering taboos, and encouraging them to change their behaviours and practices while potentially acting as change agents in their own communities. It highlights the significance of stimulating open conversations about HIV/AIDS - as a starting point towards confronting stigma and other aspects of precarity, while advocating for the incorporation of the approach into practice by public health experts, policymakers, and development practitioners. The thesis shows the strengths of applied sculpture as an approach that has potential for making sense of ordinary everyday experiences, finding meaning and crafting clarity of young people’s lived experiences in the context of HIV/AIDS. It concludes that applied sculpture is potentially an important tool in tackling HIV/AIDS and its attendant problems by engendering and facilitating open conversations and social economic development through an engagement with the voices and agency of young people in Uganda and beyond
Reasoning with Attitude
This book presents and develops inferential expressivism, a novel approach to the study of meaning which combines elements of the expressivist and inferentialist programmes. Expressivists explain the meaning of words in terms of the attitudes that they are used to express; inferentialists explain the meaning of words in terms of the inferences that they are used to draw. The book lays out the philosophical foundations of inferential expressivism by articulating and defending the view that the meaning of an expression is to be explained in terms of the inferences we draw involving the attitudes we express. The book, moreover, lays out the logical foundations of inferential expressivism by showing how to implement the view rigorously by means of novel formal systems which can deal with a variety of speech acts. As the book shows, by joining forces expressivism and inferentialism can meet their key challenges whilst retaining their distinctive insights and advantages. The book goes on to demonstrate the fruitfulness of the inferential expressivist approach to meaning by applying it to a diverse range of linguistic phenomena, including epistemic modals, probability operators, conditionals, moral predicates, the truth predicate, and propositional attitude predicates
2023-2024 Undergraduate Catalog
2023-2024 undergraduate catalog for Morehead State University
2023-2024 Boise State University Undergraduate Catalog
This catalog is primarily for and directed at students. However, it serves many audiences, such as high school counselors, academic advisors, and the public. In this catalog you will find an overview of Boise State University and information on admission, registration, grades, tuition and fees, financial aid, housing, student services, and other important policies and procedures. However, most of this catalog is devoted to describing the various programs and courses offered at Boise State
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