Rule markov models

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Summary of Mathematics Doctoral Dissertation: Apply Markov chains model and fuzzy time series for forecasting

Thesis with the aim of focusing on two main issues. The first is time series modeling by states in which each state is a deterministic probability distribution (normal distribution). Based on the experimental results to assess the suitability of the model. Second, combine Markov chains and fuzzy time series into new models to improve forecast accuracy. Expand the model with high-level Markov chains to be compatible with seasonal data.

27p xacxuoc4321 11-07-2019 36 2 Download

Báo cáo khoa học: "Combining POMDPs trained with User Simulations and Rule-based Dialogue Management in a Spoken Dialogue System"

Over several years, we have developed an approach to spoken dialogue systems that includes rule-based and trainable dialogue managers, spoken language understanding and generation modules, and a comprehensive dialogue system architecture. We present a Reinforcement Learning-based dialogue system that goes beyond standard rule-based models and computes on-line decisions of the best dialogue moves. The key concept of this work is that we bridge the gap between manually written dialog models (e.g.

4p hongphan_1 15-04-2013 75 4 Download