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Constrained min-cut replication for k-way hypergraph partitioning
(Informs, 2014)
Replication is a widely-used technique in information retrieval and database systems for providing fault tolerance and reducing parallelization and processing costs. Combinatorial models based on hypergraph partitioning ...
Supervising topic models with Gaussian processes
(Elsevier, 2018-05)
Topic modeling is a powerful approach for modeling data represented as high-dimensional histograms. While the high dimensionality of such input data is extremely beneficial in unsupervised applications including language ...
Alto sunuculu, eş görevli ağlarda dosya paylaşımı
(IEEE, 2012)
In current Internet, the most significant and the growing promotion rate of the network resources usage is due to the Peer to Peer(P2P) applications. These studies show us that the main traffic type, that Internet Service ...
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 ...
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