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The goal of this research was to determine if the results of a simple comparison algorithm (SCA) could be improved by adding a hyperspace analogue to language model of memory (HAL) layer to form NCA. The HAL layer provides contextual data that otherwise would be unavailable for consideration. It was found that NCA did improve the results when compared to SCA alone. However, NCA added complexity problems that limit its practicality. The complexity of this algorithm is On3 where n is equal to the number of unique symbols in the data. While there is a relativity reasonable soft upper bound for the number of unique symbols used in a language, the complexity still limits the uses of the NCA combined algorithm. The conclusion from this research is that NCA can improve results. This research also suggested that the quality of results might increase as more data is processed by NCA.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / A colaboração de usuários em sites jornalísticos é um fenômeno crescente. Cada vez mais, a evolução tecnológica abre espaço para uma maior participação dos usuários no processo de construção da narrativa noticiosa. Nesse contexto, um olhar do design sobre os modelos colaborativos dos sites jornalísticos fornece subsídios para o entendimento deste fenômeno e para o aprofundamento em cada uma das etapas que compõe o processo colaborativo. Dessa forma, essa dissertação apresenta a análise teórica e prática dessas diferentes etapas, bem como das soluções de design aplicáveis aos modelos colaborativos, de maneira a estabelecer conceitos e diretrizes para a construção de modelos que otimizem o aproveitamento do conteúdo enviado por usuários e sua relação com o conteúdo editorial dos sites noticiosos. / The collaboration on news sites is a growing phenomenon. Increasingly, technological change makes room for greater involvement of users in the process of building the news narrative. In this context, a design look on the models of collaborative news sites provide insights for understanding this phenomenon and to deepen in each of the steps that make up the collaborative process. Thus, this dissertation presents the theoretical analysis and practice of these different stages, as well as design solutions applicable to collaborative models in order to establish concepts and guidelines for the construction of models that optimize the use of the content posted by users and its relationship with the editorial content of news sites.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / A colaboração de usuários em sites jornalísticos é um fenômeno crescente. Cada vez mais, a evolução tecnológica abre espaço para uma maior participação dos usuários no processo de construção da narrativa noticiosa. Nesse contexto, um olhar do design sobre os modelos colaborativos dos sites jornalísticos fornece subsídios para o entendimento deste fenômeno e para o aprofundamento em cada uma das etapas que compõe o processo colaborativo. Dessa forma, essa dissertação apresenta a análise teórica e prática dessas diferentes etapas, bem como das soluções de design aplicáveis aos modelos colaborativos, de maneira a estabelecer conceitos e diretrizes para a construção de modelos que otimizem o aproveitamento do conteúdo enviado por usuários e sua relação com o conteúdo editorial dos sites noticiosos. / The collaboration on news sites is a growing phenomenon. Increasingly, technological change makes room for greater involvement of users in the process of building the news narrative. In this context, a design look on the models of collaborative news sites provide insights for understanding this phenomenon and to deepen in each of the steps that make up the collaborative process. Thus, this dissertation presents the theoretical analysis and practice of these different stages, as well as design solutions applicable to collaborative models in order to establish concepts and guidelines for the construction of models that optimize the use of the content posted by users and its relationship with the editorial content of news sites.

The rapid growth of the Internet and the advancements of the Web technologies have made it possible for users to have access to large amounts of on-line music data, including music acoustic signals, lyrics, style/mood labels, and user-assigned tags. The progress has made music listening more fun, but has raised an issue of how to organize this data, and more generally, how computer programs can assist users in their music experience. An important subject in computer-aided music listening is music retrieval, i.e., the issue of efficiently helping users in locating the music they are looking for. Traditionally, songs were organized in a hierarchical structure such as genre->artist->album->track, to facilitate the users’ navigation. However, the intentions of the users are often hard to be captured in such a simply organized structure. The users may want to listen to music of a particular mood, style or topic; and/or any songs similar to some given music samples. This motivated us to work on user-centric music retrieval system to improve users’ satisfaction with the system. The traditional music information retrieval research was mainly concerned with classification, clustering, identification, and similarity search of acoustic data of music by way of feature extraction algorithms and machine learning techniques. More recently the music information retrieval research has focused on utilizing other types of data, such as lyrics, user access patterns, and user-defined tags, and on targeting non-genre categories for classification, such as mood labels and styles. This dissertation focused on investigating and developing effective data mining techniques for (1) organizing and annotating music data with styles, moods and user-assigned tags; (2) performing effective analysis of music data with features from diverse information sources; and (3) recommending music songs to the users utilizing both content features and user access patterns.

Made available in DSpace on 2016-04-27T16:58:14Z (GMT). No. of bitstreams: 1 Ricardo Cardoso.pdf: 519569 bytes, checksum: 93a997cb00e05e91088b9b8f83a07660 (MD5) Previous issue date: 2007-05-24 / Secretaria da Educação do Estado de São Paulo / Statistics has stand out lately due to its utility in almost every area of human knowledge. Existing research and essay on the subject suggest the need for deepening knowledge on the difficulties with teaching process of this discipline. Our main issue is to investigate whether Brazilian public school teachers develop the Descriptive Statistics in high school and whether they are able to use, efficiently, the basic statistics concepts Data Organization, Measures of Central Tendency, Separatrixes and Dispersion to solve daily practical problems. The aim of this research is to verify the level of knowledge mobilization by high-school teachers. According to LINS (2004, p.54) we know that the general impression not registered systematically by researches that the licenciate s mathematical formation, in great part similar to the future graduate, does not contribute substantially to the formation of this future professional, unless to reinforce the expositive classes routines . We will try to diagnose in which level of knowledge the high-school teacher is in school curriculum of Statistics. Based on BIFI s questionnaire (2006, p.54), we will verify whether the high-school Mathematics teacher is able to calculate, justify and relate the described measures. The answers of the activities will be analyzed through C.H.I.C. software / A Estatística tem se destacado ultimamente por sua utilidade em praticamente todas as áreas do conhecimento humano. Pesquisas e dissertações existentes sobre o assunto sugerem a necessidade de aprofundar os conhecimentos sobre as dificuldades no processo de ensino da disciplina. Nossa questão principal é investigar se os Professores da Rede Pública desenvolvem o ensino da Estatística Descritiva no ensino médio, e se estão aptos a utilizar, de forma eficaz, as noções estatísticas de base Organização de dados, Medidas de Tendência Central , Separatrizes e Dispersão, para resolver problemas práticos de seu cotidiano. O intuito dessa pesquisa é verificar o nível de mobilização dos conhecimentos por parte dos Professores do Ensino Médio. Segundo LINS (2004, p.54) sabemos que persiste a impressão geral não documentada de forma sistemática por pesquisas de que a formação matemática do licenciado, em boa parte similar a do futuro bacharel, não contribui de modo substancial para a formação daquele futuro profissional, a não ser ao reforçar as rotinas de aulas expositivas . Tentaremos diagnosticar qual o nível de conhecimento em que o Professor do Ensino Médio se encontra no conteúdo curricular de Estatística. Baseando-se no questionário de BIFI (2006, p. 54), verificar se o professor de matemática do ensino médio é capaz de calcular, justificar e relacionar as medidas descritas. As respostas das atividades serão analisadas com o auxílio do software C.H.I.C