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.
Results
Showing 1 to 12 of 12 for “"Connectionist Models"”.
-
Classical and connectionist models of cognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Linguistics and Philosophy, 1990.
-
Adaptive techniques in signal processing and connectionist models
… is given, and in Chapter 6 a review of relevant connectionist models. In Chapter 7 the generalised adaptive filter is derived. This is an adaptive filter with the ability to model non-linear input-output relationships. The Volterra functional analysis of non-linear systems is given and this is …
-
A Hybrid Connectionist-Instance Model of Recognition Memory
While connectionist models have been proposed and met with some success in many areas of psychology, connectionist models of memory have not met the standards created by competing models of memory. Much of the reason for this failure is due to the severe interference connectionist models typically …
-
Large-scale connectionist natural language parsing using lexical semantic and syntactic knowledge
… has focused on two main characteristics of connectionist models for natural language processing: their adaptability to different tagging conventions, and their ability to use multiple linguistic constraints in parallel during sentence processing. In focusing on these key characteristics, an …
-
Connectionist Modelling of Category Learning
… with respect to the ability of exemplar-based connectionist models of category learning to offer accounts of learning about stimuli with variable dimensionality. Models which may simulate these tasks, such as the configural-cue network (Gluck & Bower, 1988b), appear to be unable to accurately …
-
Representation Learning for Grounding Vision and Language in Hierarchical Robot Planning
… acting. We employ hybrid systems that combine connectionist models with traditional planning algorithms to permit processing data with high variability and producing reliable task and action sequences. Such hybrid designs leverage the strengths of both methods but necessitate aligning output …
-
Magnetoencephalographic investigations of morphological identity and irregularity
… These results, then, are incompatible both with connectionist models which treat all morphological relatedness as similarity, and with dual mechanism models which argue that regular allomorphy and irregular allomorphy arise from completely different systems, and only regular allomorphy involves …
-
A connectionist approach to human planning
In the present thesis, a connectionist model (called EVA) was developed for the simulation of human planning behavior in the domain of Plan-A-Day. Plan-A-Day is a diagnostic instrument for the assessment of planning capabilities (Funke & Krüger, 1995), which provides a computer scenario in which …
-
Neural ProbabilisticModels for Melody Prediction, Sequence Labelling and Classification
Data-driven sequence models have long played a role in the analysis and generation of musical information. Such models are of interest in computational musicology, computer-aided music composition, and tools for music education among other applications. This dissertation beginswith an experiment …
-
Map-Building and Position Estimation in Mobile Robots Using Self-Organizing Maps
… elasticity dilema presented by various connectionist models such as the self organizing map (SOM), neural gas (NG) and growing neural gas algorithm (GNG). This is encouraging enough to prompt further research that could result in an autonomous agent capable of self-localizing with a …
-
Symbolic and connectionist machine learning techniques for short-term electric load forecasting
This work applies connectionist neural network learning techniques and symbolic machine learning techniques to the problem of short-term electric load forecasting. The short-term electric load forecasting problem considered here is the prediction of bus loads one day ahead. The forecast quantities …
-
More Than a Feeling: The Impact of Affect and Gender as Contextual Constraints on Perceptions of Emerging Leaders
… Methodology for Estimating Catastrophe Models) programs. Results suggested gender stereotypes and perceiver affect yield differential effects on leader networks. There was more stability in leader networks for a male leader than for a female, whereas there was more accuracy for …