This paper tackles the sparsity problem in estimating phrase translation probabilities by learning continuous phrase representations, whose distributed nature enables the sharing of related phrases in their representations. A pair of source and target phrases are projected into continuous-valued vector representations in a low-dimensional latent space, where their translation score is computed ...

This paper presents a new perspective to the language modeling problem by moving the word representations and modeling into the continuous space. In a previous work we introduced Gaussian-Mixture Language Model (GMLM) and presented some initial experiments. Here, we propose Tied-Mixture Language Model (TMLM), which does not have the model parameter estimation problems that GMLM has. TMLM provid...

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Student learning is usually modeled by one of two main approaches: using binary skill, with Bayesian Knowledge Tracing being the standard model, or using continuous skill, with models based on logistic function (e.g., Performance Factor Analysis). We use simulated data to analyze relations between these two approaches in the basic setting of student learning of a single skill. The analysis show...

This paper describes the application of discrete event simulation to study continuous material flow. Logistics is an integrated part of most manufacturing companies. The purpose of this study is to determine the required logistics operations to allow continuous operations of a chemical manufacturing plant. The application has been used to provide critical decision support.

Usually the speech and the silence models are trained together depending upon the type of recognition task. For example, if the recognition task is only on connected-digits then the corresponding digit models are built using only the connected-digit training corpus. Similarly for large-vocabulary recognition tasks, the subword or the phoneme models are generated using only the subword training ...

in this study, decolorization of the diazo dye, reactive black 5 (rb5) in a coprinus cinereus peroxidase-catalyzed reaction has been investigated. a bisubstate kinetic model for the reaction rate based on the ping-pong mechanism was assumed for the enzymatic decolorization. experimentswere conducted at different rb5 and hydrogen peroxideconcentrations in a batch mannerto estimate the intrinsic ...

Context modeling is an extensively studied paradigm for lossless compression of continuous-tone images. However, without careful algorithm design, high-order Markovian modeling of continuous-tone images is too expensive in both computational time and space to be practical. Furthermore, the exponential growth of the number of modeling states in the order of a Markov model can quickly lead to the...

Cantonese is a major Chinese dialect with a complicated tone system. This research focuses on quantitative modeling of Cantonese tones. It uses Stem-ML, a language-independent framework for quantitative intonation modeling and generation. A set of F0 prediction models are built, and trained on acoustic data. The prediction error is about 11 Hz or 1 semitone. The resulting optimal model paramete...

Visual working memory (VWM) is a crucial part of our cognitive system. Currently there is an active debate how the apparent limitations of VWM should be described. Limited-slot and flexible-resource theories are discussed, but so far the temporal dynamics of representations stored in VWM are not fully understood. In this paper we present data that supports the notion of dynamic VWM contents wit...