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Variational closed-Form deep neural net inference
(Elsevier, 2018-09)
We introduce a Bayesian construction for deep neural networks that is amenable to mean field variational inference that operates solely by closed-form update rules. Hence, it does not require any learning rate to be manually ...
Model-based software product line testing by coupling feature Mmodels with hierarchical Markov chain usage models
(IEEE, 2016)
Model-based testing automates test case generation based on usage models of a system. In this paper, we introduce an approach for systematic reuse of these models for testing a large family of products. In our approach, ...
A small footprint hybrid statistical/unit selection text-to-speech synthesis system for agglutinative languages
(IEEE, 2012)
Despite its success, unit selection based text-to-speech synthesis (TTS) has has some disadvantages such as sudden discontinuities in speech that distract the listeners. The HMM-based TTS (HTS) approach has been increasingly ...
Analysis of speaker similarity in the statistical speech synthesis systems using a hybrid approach
(IEEE, 2012)
Statistical speech synthesis (SSS) approach has become one of the most popular and successful methods in the speech synthesis field. Smooth speech transitions, without the spurious errors that are observed in unit selection ...
Rafinerilerdeki büyük veri problemlerine gerçek-zamanlı veri uzlaştırma çözümleri
(IEEE, 2014)
Rafineriler tonlarca ham petrolün, her gün faklı kimyasal işlemden geçirilerek benzine ve diğer yan ürünlere dönüştürüldüğü dev endüstriyel tesislerdir. Bu makalede sensör-tabanlı petrol rafinelerine özel endüstriyel büyük ...
Feature-based rationale management system for supporting software architecture adaptation
(World Scientific Publishing Co., 2012-11)
Each software architecture design is the result of a broad set of design decisions and their justifications, that is, the design rationale. Capturing the design rationale is important for a variety of reasons such as ...
A machine learning approach for mechanism selection in complex negotiations
(Springer Nature, 2018-04)
Automated negotiation mechanisms can be helpful in contexts where users want to reach mutually satisfactory agreements about issues of shared interest, especially for complex problems with many interdependent issues. A ...
MOO: An architectural framework for runtime optimization of multiple system objectives in embedded control software
(Elsevier, 2013-10)
Today's complex embedded systems function in varying operational conditions. The control software adapts several control variables to keep the operational state optimal with respect to multiple objectives. There exist ...
The likeability-success tradeoff: results of the 2nd annual human-agent automated negotiating agents competition
(IEEE, 2019)
We present the results of the 2nd Annual Human-Agent League of the Automated Negotiating Agent Competition. Building on the success of the previous year's results, a new challenge was issued that focused exploring the ...
An approach for detecting inconsistencies between behavioral models of the software architecture and the code
(IEEE, 2012)
In practice, inconsistencies between architectural documentation and the code might arise due to improper implementation of the architecture or the separate, uncontrolled evolution of the code. Several approaches have been ...
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