Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 22 for “"Relational Learning"”.
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Efficient Information Extraction Using Statistical Relational Learning
… text. In this thesis we explore a machine learning-based approach to support a natural language processing (NLP) algorithm, and an application of information extraction. One of the challenges of learning-based approaches is the requirement of human annotated examples. Current successful …
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Statistical and Relational Learning for Understanding Enzyme Function
… This thesis investigates statistical and relational learning techniques for the characterisation of the enzyme function. The problem is tackled from two sides: the analysis of the enzyme structure and its interactions with other molecules, and the mining of relevant features from the …
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Statistical Relational Learning for Proteomics: Function, Interactions and Evolution
In recent years, the field of Statistical Relational Learning (SRL) [1, 2] has produced new, powerful learning methods that are explicitly designed to solve complex problems, such as collective classification, multi-task learning and structured output prediction, which natively handle relational …
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Dimensional Effects in the Relational Learning of Retarded Children
Made available in DSpace on 2014-12-08T23:01:54Z (GMT). No. of bitstreams: 1 6910843.pdf: 2034705 bytes, checksum: 7172772ddcea9e285bdccbb9fdd8a418 (MD5) Previous issue date: 1968
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The effect of intermediate concepts in hierarchical relational learning
The DARPA Bootstrapped Learning project uses relational learners to ladder concepts together to teach a final concept, essentially narrowing the search space at each step. However, there are many ways to structure background knowledge to teach a concept and it is uncertain how different ways of …
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Relational learning for a sustainable future: An eco -spiritual model
… commitment may have profound impact on other learning communities as they seek to embody more holistic practices. By reclaiming and revaluing human capacities to care and connect, as well as cultivating spiritualities rooted in wonder and the miracle of being, we may yet discover the capacity …
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Learning and memory systems supporting decision making in the human brain
… we have learned. In the brain, two prominent learning systems have been identified and each is likely to guide decisions in different ways. Research on decision making has primarily focused on a reward learning system in the striatum. These studies have illuminated the how repeated choices and …
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Overcoming uncertainty for within-network relational machine learning
… content such as pictures, videos and products. Relational machine learning (RML) utilizes a set of observed attributes and network structure to predict corresponding labels for items; for example, to predict individuals engaged in securities fraud, we can utilize phone calls and workplace …
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Node Classification on Relational Graphs Using Deep-RGCNs
… Graphs are fascinating concepts in machine learning as they can hold usefully structured information in the form of entities and their relations. Despite the valuable applications of such graphs, most knowledge bases remain incomplete. This missing information harms downstream applications …
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Making Leadership Development Accessible Through Reflexive, First-Person Practice: Increasing Awareness of Interconnection, Wise Action, and Conscious Living
… developing my reflexive, conscious, and wise relational leadership enhance my capacities to support others’ leadership in the world?” In support of collective wellness and equitable action, the study emphasizes Etuaptmumk, the Mi’kmaw concept of two-eyed seeing or the gift of multiple …
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EXPERIENTIAL NEGATIVE SYMPTOMS IN YOUNG ADULTS ENDORSING PSYCHOTIC-LIKE EXPERIENCES
… and/or cognitive performance (i.e., associative/relational learning/memory) outcomes when evaluating people with PLEs/PLEDs to identify those who may be at greater risk for developing a psychotic disorder.
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Water Maze Strategies used by Mice Exposed to Radiation and Pomegranate Juice
… the hippocampus, which is responsible for relational/contextual types of learning and memory. Spatial learning and memory is one type of relational learning that is easy to study in animals. The water maze is a test that requires the animal to use spatial navigation skills to find a …
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Combining PEAK (Promoting the Emergence of Advanced Knowledge) with Other Teaching Methodologies with Children with and without Learning Delays
… Emergence of Advanced Knowledge (PEAK) combines relational learning and applied behaviour analysis in a teaching programme for children with diagnosed autism (Dixon, 2014). Study 1a aimed to expand on this research by examining PEAK Sequencing; if teaching learning targets taken from the PEAK …
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Community, word and wonder: discerning key elements in the faith inquiry of Chinese international students
… influences which shape the process include relational learning within the Christian community, Chinese approaches to religious practice, and encounters with the transcendent. Using an emergent framework incorporating ‘ordinary theology’ (Astley 2002) and modalities of Chinese religion (Chau …
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Multi-target Prediction Methods for Bioinformatics: Approaches for Protein Function Prediction and Candidate Discovery for Gene Regulatory Network Expansion
… characterization. It relies on a statistical-relational-learning tool, where the knowledge on the input examples is coded by the combination of multiple kernel matrices, while relations among target variables are expressed as logical constraints. Both, the mislabeling of examples and the …
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Real-Time Event Centric Data Integration
… global similarity by treating the problem as a relational learning problem and use machine learning to learn the weights of each local similarity. To learn the weights, we combine the features of each pair of events into one object and use logistic regression and support vector machines to learn …
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Encoding parameter and structural efficiency in deep learning
The development of deep learning has led to significant performance gains on a variety of tasks in a diverse set of application areas spanning computer vision, natural language processing, reinforcement learning, generative modelling and more recently relational learning from graph-structured data. …
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Exploiting multimodality and structure in world representations
… within the real world. To this end, embodied learning is emerging as one of the most important efforts contributed by the machine learning community towards this goal. Recently developing sub-fields concern various aspects of such systems---visual reasoning, language representations, causal …
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How do I remain caring?: a reflective inquiry by an initial teacher educator in Irish higher education
… Noddings’ caring ethic (2013), which rests upon relational, experiential, and concrete caring. I engaged in a critical, personal, and reflective inquiry to respond to the core question: how can I remain caring in Irish HE, during these contemporary times? <br/><br/>During analysis, I reflected …
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EXPLORING THE PROCESS OF PROFESSIONAL IDENTITY DEVELOPMENT FOR GENERATION Z COUNSELORS-IN-TRAINING ENROLLED IN CACREP-ACCREDITED MASTER'S PROGRAMS IN THE NORTHEASTERN UNITED STATES COUN
… acquisition of professional competencies but a relationally mediated, meaning-centered process shaped by existential uncertainty, systemic constraints, and sociocultural instability. Participants emphasized the importance of faculty, supervisors, and peers in legitimizing their emerging …
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