System Framework and Algorithms
Framework of Classification Algorithms
... a system which extricates data from both structured and unstructured data and furthermore finding designs which is novel and not known ...Classification algorithms are utilized for characterizing the ...
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A Framework for Fast Classification Algorithms
... Shared memory (where all processors access common memory). Shared-memory (SMP) architecture has many desirable properties. Each processor has direct and equal access to all the system’s memory. Parallel programs are easy ...
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A Framework for Prototyping J2EE Replication Algorithms
... The general shape of both curves is the same: the number of operations increases linearly with the target transaction rate until the server becomes over- loaded. After this point, some transactions begin being aborted, ...
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recommenderlab: A Framework for Developing and Testing Recommendation Algorithms ∗
... first system using social filtering created by Malone, Grant, Turbak, Brobst, and Cohen (1987) more than 20 years ...recommender system by more than 10% in terms of the root mean square ...
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A framework for the analysis and comparison of process mining algorithms
... Mining Algorithms In this section we describe the Alpha [156] and Heuristics Miner [194] ...process, system and data problems may cause Alpha to produce a difficult to understand, or ‘spaghetti’ [148] ...
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A Framework for File Format Fuzzing with Genetic Algorithms
... execution time depending upon the Valgrind instrumentation tool. The decision to use emulation, in spite of this slow down, is based on inconsistent support of other hit tracing tools. Most other methods use low level ...
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A framework for development, teaching and deployment of inference algorithms
... Apart from inference research, we are also putting symfer to use in a telemedicine system that we are developing (van der Heijden et al., 2011) for home use by COPD patients. COPD (chronic ob- structive pulmonary ...
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A Unified Framework for Designing, Implementing and Visualizing Distributed Algorithms
... distributed algorithms encoded by graph relabelling systems is given in ...relabelling system for computing a spanning tree, and an example of local computations for detecting stable ...
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Fault Tolerant Distributed Computing Framework for Scientific Algorithms
... The given generic program structure allows for the state, label of the next stage and incoming message queue to be stored into persistent storage (such as a distributed file system) between invocations of execute, ...
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Learning from expert advice framework: Algorithms and applications
... lar system needs to select the best wireless channel for a specific customer, an e-commerce website needs to recommend the best product to their customers, and an advertiser tends to show an advertisement piece to ...
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A Framework for Performance Evaluation of Decentralized Eventual Consistency Algorithms
... Our framework provide a collection of tree algorithms based on OT and CRDT designed for hierarchical documents and semi-structured ...the framework proposes a generic design to ensure eventual ...
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A Framework For Parallelizing Sampling-Based Motion Planning Algorithms
... In parallel there are two common types of memory management systems, shared and distributed memory systems. In shared memory systems all the processors are able to read and write to the same physical memory. In ...
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Automated framework for FPGA-based parallel genetic algorithms
... proposed framework can handle many problems, but for space reasons here we choose an NP-hard combinato- rial optimisation problem and four numeric ...CPU system, which has 12 physical cores and 24 threads ...
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Framework for Fast Experimental Testing of Autonomous Navigation Algorithms
... the system modular and scalable, so any module can be replaced without affecting the rest of the ...autonomous system development can also be found, ranging from very high-level project management and agile ...
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Distributed Machine Learning Framework: New Algorithms and Theoretical Foundation
... Then, we proposed Distributed Asynchronous Dual Free Coordinate Ascent (Dis- dfS- DCA) method for distributed machine learning. We addressed two challenging issues in pre- vious primal-dual distributed optimization ...
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A Framework for Implementing Machine Learning algorithms using Data sets
... intelligent system without learning ability cannot be regarded as a real intelligent system, but the intelligent system in the past was generally lack of learning ...
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Equal Protection Under Algorithms: A New Statistical and Legal Framework
... The Article proceeds in six parts. In Part I, we provide an overview of the legal and policy concerns surrounding the use of protected characteristics to make predictions about individuals in the criminal justice ...
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Evaluating Placement Algorithms with the DREAM Framework for Reconfigurable Hardware Devices
... 2.4 FPGA Placement The programming exibility and parallel computing potential of run-time recong- urable systems prove the advantage of implementing computationally intensive appli- cations on such a system. ...
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A Framework for Genetic Algorithms in Games
... Evaluation by experimentation: Due to the great number of crossover, mutation, selection and scaling options, and due to the random nature of GAs, the only way to find a good solution is by experimentation [Schwab, ...
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A General Framework for Fast Stagewise Algorithms
... The second example is based on the MovieLens data set (collected by the GroupLens Research Project at the University of Minnesota, see http://grouplens.org/datasets/ movielens/). We examined a subset of the full data ...
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