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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 11 of 11 for “"Baum Welch"”.
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Experiments with hidden Markov models
… chains with generative transitions and the Baum-Welch algorithm. We explore generating the hypothesis model in various ways. We use the hypothesis model as the original model. And we investigate the feasibility of implementing a sequential version of the Baum-Welch algorithm. This research …
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Two new approaches for learning Hidden Markov Models
… to infer these hidden variables has been the Baum-Welch algorithm. This thesis utilizes insights from two related fields. The first insight is from Angluin's seminal paper on learning regular sets from queries and counterexamples, which produces a simple and intuitive algorithm that …
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Automatic Phoneme Recognition with Segmental Hidden Markov Models
… (HMM) based phoneme models are trained using the Baum-Welch re-estimation procedure. Recognition and segmentation of the phonemes in the continuous speech is performed by a Segmental Viterbi Search on a Segmental Ergodic HMM for the phoneme states. We describe in detail the three phases of the …
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One-vector representations of stochastic signals for pattern recognition
… for HMMs, which we refer to as the boosting Baum-Welch algorithm. In the proposed boosting Baum-Welch algorithm, we formulate the HMM learning problem as an incremental optimization procedure which performs a sequential gradient descent search on a loss functional for a good fit in an inner …
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Parameter estimation in HMMs with guaranteed convergence
… The EM algorithm for HMMs, also known as the Baum-Welch algorithm, was previously studied by Yang, Balakrishnan, and Wainwright [1] but without global convergence guarantees. In this paper we propose a "local" version of the EM algorithm and prove absolute convergence of this algorithm to the …
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Applying binary decision diagrams to learn hidden Markov models
… of Hidden Markov Models, by building upon the Baum-Welch (BW) algorithm’s methodology. EM-BDD utilises the Forward-Backward procedure, a cornerstone of BW, adapting it to operate on Binary Decision Diagrams (BDDs). The time and memory complexity of the algorithm is contingent on the size of the …
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A uniform representation for visual concepts
… in videos. We use a discriminative variant of Baum-Welch to learn the parameters for our word models, and demonstrate that our approach is able to learn words capturing appearance, spatial relations, and temporal dynamics.
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An integrated performance model learning and planning approach for optimal infrastructure facility maintenance under partial observability
… estimate of performance model using the Baum-Welch algorithm. Both offline and online versions of the learning algorithm are presented. The probing-optimizing dichotomy, also known as exploration-exploitation dilemma, in choosing between the best strategy based on the past knowledge of …
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Android Application Install-time Permission Validation and Run-time Malicious Pattern Detection
… size by adding game applications, to optimize Baum-Welch algorithm parameters, and to balance the size of the Intent sequence. To better emulate the participant's usage, some popular applications can be selected in advance, and the remainder can be randomly chosen.
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Applications of broad class knowledge for noise robust speech recognition
… a gradient steepness metric using the Extended Baum-Welch (EBW) transformations to explain how much these initial model must be adapted to fit the target data. We incorporate this gradient metric into a Hidden Markov Model (HMM) framework for broad class recognition and illustrate that this …
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Iterative Decoding and Channel Estimation over Hidden Markov Fading Channels
Since the 1950s, hidden Markov models (HMMS) have seen widespread use in electrical engineering. Foremost has been their use in speech processing, pattern recognition, artificial intelligence, queuing theory, and communications theory. However, recent years have witnessed a renaissance in the …