Publications associées à Markov information source

Ali H. Sayed, Virginia Bordignon, Mert Kayaalp, Stefan Vlaski

This work proposes a multi-agent filtering algorithm over graphs for finite-state hidden Markov models (HMMs), which can be used for sequential state estimation or for tracking opinion formation over dynamic social networks. We show that the difference fro ...

IEEE2022

Distributionally Robust Optimization with Markovian Data

Daniel Kuhn, Mengmeng Li, Tobias Sutter

We study a stochastic program where the probability distribution of the uncertain problem parameters is unknown and only indirectly observed via finitely many correlated samples generated by an unknown Markov chain with d states. We propose a data-driven d ...

2021

Predicting learners' effortful behaviour in adaptive assessment using multimodal data

Kshitij Sharma, Jennifer Kaitlyn Olsen

Many factors influence learners' performance on an activity beyond the knowledge required. Learners' on-task effort has been acknowledged for strongly relating to their educational outcomes, reflecting how actively they are engaged in that activity. Howeve ...

ASSOC COMPUTING MACHINERY2020

Dynamic prediction-based relocation policies in one-way station-based carsharing systems with complete journey reservations

Nikolaos Geroliminis, Burak Boyaci, Mor Kaspi, Martin Jean Marie Joseph Repoux

In this paper, we study the operations of a one-way station-based carsharing system implementing a complete journey reservation policy. We consider the percentage of served demand as a primary performance measure and analyze the effect of several dynamic s ...

PERGAMON-ELSEVIER SCIENCE LTD2019

Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models

Ramya Rasipuram, Marzieh Razavi

Developing a phonetic lexicon for a language requires linguistic knowledge as well as human effort, which may not be available, particularly for under-resourced languages. An alternative to development of a phonetic lexicon is to automatically derive subwo ...

Idiap2017

Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models

Aude Billard, José Ramon Medina Hernandez

The problem of acquiring multiple tasks from demonstration is typi- cally divided in two sequential processes: (1) the segmentation or identification of different subgoals/subtasks and (2) a separate learning process that parameterizes a control policy for ...

robot-learning2017

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

Hervé Bourlard, Ramya Rasipuram, Raphaël Marc Ullmann

Objective assessment of synthetic speech intelligibility can be a useful tool for the development of text-to-speech (TTS) systems, as it provides a reproducible and inexpensive alternative to subjective listening tests. In a recent work, it was shown that ...

Idiap2015

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

Hervé Bourlard, Ramya Rasipuram, Raphaël Marc Ullmann

2015

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Markov information source

Hidden Markov Modeling Over Graphs

Distributionally Robust Optimization with Markovian Data

Optimization of operational decisions for on-demand shared mobility systems

Predicting learners' effortful behaviour in adaptive assessment using multimodal data

Dynamic prediction-based relocation policies in one-way station-based carsharing systems with complete journey reservations

Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models

Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models

Noether's theorem for dissipative quantum dynamical semi-groups

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

Graph Chatbot

Chattez avec Graph Search

Hidden Markov Modeling Over Graphs

Optimization of operational decisions for on-demand shared mobility systems

Distributionally Robust Optimization with Markovian Data

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

Dynamic prediction-based relocation policies in one-way station-based carsharing systems with complete journey reservations

Noether's theorem for dissipative quantum dynamical semi-groups

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models

Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models

Predicting learners' effortful behaviour in adaptive assessment using multimodal data