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Effective robot skill synthesis via divided control
(IEEE, 2018-07-02)
Learning from demonstration is a powerful method for obtaining task skills, which aim to eliminate the need for explicit robot programming. Classically, the tasks are demonstrated to the robot by means of either recorded ...
Automated negotiating agents competition (ANAC)
(AAAI press, 2017)
The annual International Automated Negotiating Agents Competition (ANAC) is used by the automated negotiation research community to benchmark and evaluate its work and to challenge itself. The benchmark problems and ...
TIDY: A trust-based approach to information fusion through diversity
(IEEE, 2013)
Trust and reputation are significant components in open dynamic systems for making informed and reliable decisions. State-of-the-art information fusion models that exploit these mechanisms generally rely on reports from ...
A survey of software testing in the cloud
(IEEE, 2012)
Cloud computing has emerged as a new computing paradigm that impacts several different research fields, including software testing. Testing cloud applications has its own peculiarities that demand for novel testing methods ...
Action and language mechanisms in the brain: data, models and neuroinformatics
(Springer Science+Business Media, 2014-01)
We assess the challenges of studying action and language mechanisms in the brain, both singly and in relation to each other to provide a novel perspective on neuroinformatics, integrating the development of databases for ...
Algorithms for obtaining parsimonious higher order neurons
(Springer International Publishing, 2017)
Most neurons in the central nervous system exhibit all-or-none firing behavior. This makes Boolean Functions (BFs) tractable candidates for representing computations performed by neurons, especially at finer time scales, ...
Maximum likelihood estimate of parameters of Nakagami-m distribution
(IEEE, 2012)
Nakagami-m distribution is well known for its ability to model a number of probability density functions, be it symmetric or asymmetric. Many Maximum Likelihood parameter estimation techniques for this distribution have ...
A distributed approach for bitrate selection in HTTP adaptive streaming
(ACM, 2018)
Past research has shown that concurrent HTTP adaptive streaming (HAS) players behave selfishly and the resulting competition for shared resources leads to underutilization or oversubscription of the network, presentation ...
A generalized stereotype learning approach and its instantiation in trust modeling
(Elsevier, 2018-08)
Owing to the lack of historical data regarding an entity in online communities, a user may rely on stereotyping to estimate its behavior based on historical data about others. However, these stereotypes cannot accurately ...
Data stream analytics and mining in the cloud
(IEEE, 2012)
Due to prevalent use of sensors and network monitoring tools, big volumes of data or “big data” today traverse the enterprise data processing pipelines in a streaming fashion. While some companies prefer to deploy their ...
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