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 10 of 10 for “"Non-stationary Environments"”.
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Learning in non-stationary Environments
… domain is assumed to be the same, denoted as a stationary environment. If this is not the case and the distributions change between the two domains, it is called a non-stationary environment. <br /><br /> The research area of Domain Adaptation offers methods to adapt the input data or an already …
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Causal Inference: Heterogeneous Effects and Non-stationary Environments
… the problem of estimating treatment effects in non-stationary data. In this setting, using old data to make inferences can lead to unreliable results. We propose a novel procedure that helps smooth out the data non-stationarity by providing a way to resample previous data to match the …
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Learning with high dimensional data and preprocessing in non-stationary environments
… the Random Projection technique is analyzed in non-stationary envi- ronments. It is shown, that the Johnson-Lindenstrauss Lemma also holds for stream classification tasks. Further, performance comparisons of different classifiers on the projected and the orig- inal space are provided, and it is …
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An ensemble-based computational approach for incremental learning in non-stationary environments related to schema- and scaffolding-based human learning
… using an ensemble of classifiers, Learn++.NSE (Non-Stationary Environments), specifically for the case where the nature of knowledge to be learned is evolving. Learn++.NSE is a novel approach to evaluating and organizing existing knowledge (classifiers) according to the most recent data …
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Dynamically Evaluated Gravity Compensation for the RAVEN Surgical Robot
… re-orientable bases or for those operating in non-stationary environments such as boats, space stations, or moving vehicles.
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FAST ALGORITHMS FOR SEPARATING AND TRACKING SOURCES IN ADAPTIVE ARRAYS
… its rate of change to achieve better tracking in non-stationary environments is investigated.
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Neural Encoding of Prior Experience in Sensorimotor Behavior
… Third, I demonstrate that the results hold in non-stationary environments when animals adapt to new temporal statistics. Fourth, I present a computational model that recapitulates the behavioral and neural findings and provides a solution for incorporating temporal expectations in neural …
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Theory and application of learning automata.
… of these automata has been measured in stationary and non-stationary environments. The operation of a hierarchical automaton controlling the memory size of a Tsetlin automaton is also investigated. Two new automata are proposed with the aim of avoiding the operational disadvantages of …
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On upper confidence bound algorithms for piecewise-stationary stochastic multi-armed bandits and the variants
… bound. Original MAB problems are considered in a stationary environment, where the reward distributions do not evolve over time. Many real-world applications, however, have a non-stationary nature that cannot be fully characterized by the stationary settings. In this thesis, we mainly study the …
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Knowledge-Based Architecture for Integrated Condition Based Maintenance of Engineering Systems
… feedback and reorganizes itself to deal with non-stationary environments. A unique Human-in-the-Loop Learning (HITLL) approach has been adopted to incorporate human feedback in the traditional Reinforcement Learning (RL) algorithm.