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 19 of 19 for “"minimum description length"”.
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Minimum description length, regularisation and multi-modal data
… A new cost function is presented here with a description length interpretation based on Rissanen's Minimum Description Length principle. It is a heuristic that has a rough interpretation as the number of data points fit by the model. Not concerned with finding optimal descriptions, the cost …
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Handwritten character recognition using the minimum description length principle
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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Essays on Model Selection Uncertainty and Model Averaging: Computational and Empirical Work with Beta Regression, Multiple Linear Regression with ARMA Innovations, and the Minimum Description Length Principle
… information and coding theory, specifically, the minimum description length principle. This principle combines aspects of the principle of parsimony and goodness-of-fit to automatically control overfitting and model generalization. One- and two-part minimum description length selection criteria …
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Statistical Recursive Estimation Algorithms for Speaker Adaption
… selecting models using a Bayesian variant of the minimum description length (MDL) principle. Speaker adaptation experiments using a 26-letter English alphabet vocabulary were conducted, and the results confirmed effectiveness of the on-line learning framework.
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An HMM-based boundary-flexible model of human haplotype variation
The construction of a meaningful and detailed description of haplotype variation holds the promise for more powerful genetic association studies. The segmentation of the human genome into blocks of limited haplotype diversity has been successfully employed by models that describe common variation. …
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A hierarchical wavelet-based framework for pattern analysis and synthesis
… with linear complexity. TEMPLAR employs minimum description length (MDL) complexity regularization to learn a template with a sparse representation in the wavelet domain. If we are given several trained models for different patterns, our framework provides a low-dimensional subspace …
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An analysis of information complexity in air traffic control human machine interaction
… this context, complexity is defined as the minimum amount of information required to describe the human machine interaction process in some fixed description language and chosen level of detail. The methodology elicits human information processing via cognitive task analysis (CTA) and …
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Minimum description complexity
… criterion (AIC) and different forms of minimum description length (MDL). The prior assumption in these methods is that the unknown true model is a member of all the competing sets. We introduce a new method of model selection: minimum description complexity (MDC). The approach is …
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Inferring Network Status from Partial Observations
… We formalize the prob{} problem using the Minimum Description Length (MDL) principle and we show that, in general, finding solutions that minimize the MDL cost is hard, and develop efficient algorithms with rigorous performance guarantees for finding near-optimal MDL cost solutions. We …
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A sequence-length sensitive approach to learning biological grammars using inductive logic programming.
… ideas behind compression principles, such as the Minimum Description Length, can help us to improve the process of learning biological grammars from protein sequences using Inductive Logic Programming (ILP). Contrary to most traditional ILP learning problems, biological sequences often have a high …
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Mining time-series data using discriminative subsequences
… novel, parameterless clustering method based on Minimum Description Length, reducing dimensionality and removing duplicate shapelets. Second, we transform the shapelet data into binary data reflecting the presence or absence of particular shapelets, a representation that is straightforward to …
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Investigation of over-fitting and optimism in prognostic models
… to produce models that are over-fitted. MDL (Minimum Description Length) is suggested as potentially useful methods by which statistical models can be obtained that have an in built resistance to over-fitting. The author also recommends that concepts such as over-fitting, optimism and model …
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Synthesis of Local Thermo-Physical Models Using Genetic Programming
… is addressed through incorporation of the Minimum Description Length (MDL) into the fitness (objective) function. Statistical tools including residual analysis are used to evaluate performance of models. Adjusted R-square is used to test model's accuracy, and F-test is used to test if the …
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Chemical identification under a poisson model for Raman spectroscopy
… The resulting approximations are related to the minimum description length (MDL) approach to inference. In our simulations, this method is seen to outperform two common general detection approaches, the spectral unmixing approach and the generalized likelihood ratio test (GLRT). The MHD framework …
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Information Theoretic Methods For Biometrics, Clustering, And Stemmatology
… quality of a partition. We propose the use of minimum description length: MDL) principle for graphical based clustering. In the MDL framework, each data partitioning is viewed as a description of the data points, and the description that minimizes the total amount of bits to describe the data …
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Methods for Constructing and Exploiting Information Measures for Neural Networks
… networks. The first subject of discussion is the description length of deep neural networks (DNNs) and the various methodologies for estimating minimum description length (MDL) codelengths. The symbiotic relationship between neural networks and compression research has produced profound work in …
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Unsupervised Signal Deconvolution for Multiscale Characterization of Tissue Heterogeneity
… measured signals and their resident markers. The minimum description length (MDL) criterion is applied to determine the number of tissue populations in the sample. Based on CAM principle, we integrated nonnegative independent component analysis (nICA) and convex matrix factorization (CMF) methods, …
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Building the Foundations and Experiences of 6G and Beyond Networks: A Confluence of THz Systems, Extended Reality (XR), and AI-Native Semantic Communications
… AI, causal reasoning, transfer learning, and minimum description length theory is proposed. Within this framework, the dissertation demonstrates that moving from data-driven intelligence towards reasoning-driven intelligence requires identifying association (statistical) and causal logic. …