Publications related to Inductive probability

Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition

Hervé Bourlard, Philip Neil Garner, John David Scott Dines, David Imseng

In the context of hybrid HMM/MLP Automatic Speech Recognition (ASR), this paper describes an investigation into a new type of stochastic phone space transformation, which maps "source" phone (or phone HMM state) posterior probabilities (as obtained at the ...

Ieee-Inst Electrical Electronics Engineers Inc2013

In situ Tc measurements of cable in conduit conductors via an inductive method

Pierluigi Bruzzone, Davide Uglietti, Boris Stepanov, Ciro Calzolaio

The measurement of the actual thermal strain, epsilon th, in a cable in conduit conductor (CICC) of Nb3Sn is of paramount importance to predict the CICC performance in operation starting from the strand scaling laws for the critical current density J(c)(B, ...

IEEE-Inst Electrical Electronics Engineers Inc2012

Measurement of Tc distribution in NbSn CICC

Pierluigi Bruzzone, Davide Uglietti, Ciro Calzolaio

Knowledge of the actual Nb3Sn filaments' thermal strain, epsilon(th), in a cable-in-conduit conductor (CICC) is essential to predict the CICC performance in operation starting from the strand scaling laws for the critical current density J(c)(B, T, epsilon ...

SUST 20122012

Resistance Against Iterated Attacks by Decorrelation Revisited

Serge Vaudenay, Atefeh Mashatan, Asli Bay

Iterated attacks are comprised of iterating adversaries who can make

d

plaintext queries, in each iteration to compute a bit, and are trying to distinguish between a random cipher

C

and the ideal random cipher

C^*

based on all bits. In EUROCRYPT '99, ...

Springer2012

Modeling Credit Contagion Via the Updating of Fragile Beliefs

Pierre Collin Dufresne

We propose a tractable equilibrium model for pricing defaultable bonds that are subject to contagion risk. Contagion arises because agents with 'fragile beliefs' are uncertain about both the underlying state of the economy and the posterior probabilities a ...

Columbia Business School2011

Stratégies de compromis pour l'estimation des paramètres de régression et pour la classification floue

Nicolas Fournier

Model specification is an integral part of any statistical inference problem. Several model selection techniques have been developed in order to determine which model is the best one among a list of possible candidates. Another way to deal with this questi ...

EPFL2011

Creating Probabilistic Databases from Imprecise Time-Series Data

Karl Aberer, Saket Sathe, Ho Young Jeung

Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to the lack of means for creating probabilistic databases. In fact, it is a challenging ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

INTEGRATING ARTICULATORY FEATURES USING KULLBACK-LEIBLER DIVERGENCE BASED ACOUSTIC MODEL FOR PHONEME RECOGNITION

Ramya Rasipuram

In this paper, we propose a novel framework to integrate articulatory features (AFs) into HMM- based ASR system. This is achieved by using posterior probabilities of different AFs (estimated by multilayer perceptrons) directly as observation features in Ku ...

Idiap2011

Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition

Ramya Rasipuram

In this paper, we propose a novel framework to integrate articulatory features (AFs) into HMM- based ASR system. This is achieved by using posterior probabilities of different AFs (estimated by multilayer perceptrons) directly as observation features in Ku ...

2011

Compressive Sensing under Matrix Uncertainties: An Approximate Message Passing Approach

Volkan Cevher

In this work, we consider a general form of noisy compressive sensing (CS) when there is uncertainty in the measurement matrix as well as in the measurements. Matrix uncertainty is motivated by practical cases in which there are imperfections or unknown ca ...

2011

Inductive probability

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Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition

In situ Tc measurements of cable in conduit conductors via an inductive method

Measurement of Tc distribution in NbSn CICC

Resistance Against Iterated Attacks by Decorrelation Revisited

Modeling Credit Contagion Via the Updating of Fragile Beliefs

Stratégies de compromis pour l'estimation des paramètres de régression et pour la classification floue

Creating Probabilistic Databases from Imprecise Time-Series Data

INTEGRATING ARTICULATORY FEATURES USING KULLBACK-LEIBLER DIVERGENCE BASED ACOUSTIC MODEL FOR PHONEME RECOGNITION

Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition

Compressive Sensing under Matrix Uncertainties: An Approximate Message Passing Approach

Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition

Modeling Credit Contagion Via the Updating of Fragile Beliefs

Stratégies de compromis pour l'estimation des paramètres de régression et pour la classification floue

Resistance Against Iterated Attacks by Decorrelation Revisited

In situ Tc measurements of cable in conduit conductors via an inductive method

Creating Probabilistic Databases from Imprecise Time-Series Data

INTEGRATING ARTICULATORY FEATURES USING KULLBACK-LEIBLER DIVERGENCE BASED ACOUSTIC MODEL FOR PHONEME RECOGNITION

Measurement of Tc distribution in NbSn CICC

Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition

Compressive Sensing under Matrix Uncertainties: An Approximate Message Passing Approach