acyclic data flow graph
Mining Knowledge Of The Directed Acyclic Graph (DAG) And Dataset Using The Hill Climbing Algorithm
... or data point. When the data point meets the target function that evaluates the data point and its value is better than the previous data point, the hill climbing algorithm will set the ...
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Coarse grained and Fine grained Analytics in a Single Framework
... of data-flow programming is the subset known as reactive programming with ...a graph, more specifically a DAG (Directed Acyclic Graph) with nodes doing computations and edges indicating ...
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Analysis and optimization methods of graph based meta-models for data flow simulation
... the graph based meta-models elicited from an synchronous data flow (SDF) model; these cases are used to frame the scope of this ...any graph based meta-model can be described by a combination ...
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PAPER Variable Data-Flow Graph for Lightweight Program Slicing and Visualization
... out data-flow analysis, while our approach performs approx- imated data and control flow ...extract data dependencies in such applications. Nguyen [14] has proposed a ...
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HPSG Parsing with Shallow Dependency Constraints
... This method forces the HPSG parser to produce parse trees that strictly conform to the output of the dependency parser. However, this means that the HPSG parser outputs no successful parse results when it cannot find the ...
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The Merino–Welsh conjecture holds for series–parallel graphs
... a graph if neither is a bridge and any cycle containing e also contains f , and are in parallel if neither is a loop and any edge- cutset containing e also contains f ...
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Implementation Methodology of Real-Valued Augmented Simulated Annealing Algorithm for Dependent Task Scheduling
... As computing resources are distributed in multiple domains in the Internet, the computational and storage nodes and the underlying networks connecting them are heterogeneous. Thus the heterogeneity results in different ...
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Sentiment Sentence Extraction Using a Hierarchical Directed Acyclic Graph Structure and a Bootstrap Approach
... In this paper, we proposed a method of sentiment sentence extraction based on a graph-based approach, called Hierarchical Directed Acyclic Graph (HDAG). Our method can extract sentiment sentences by ...
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4. Trees. 4.1 Basics. Definition: A graph having no cycles is said to be acyclic. A forest is an acyclic graph.
... any graph G is computed by repeatedly applying the above recur- ...resulting graph can have a loop and by remark (2) the procedure can be still con- ...given graph and produces two graphs (possibly ...
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Mapping for maximum performance on FPGA DSP blocks
... dataflow graph is very narrow, and HLS is able to implement it ...Pipe graph schedule and structure fit well with the DSP blocks, and also allows the mapping tool to take advantage of the internal cascade ...
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The field testing of a vortex sewage overflow
... Continuation flow vs Inflow and the Spill flow vs Inflow graphs looped around the average lines estimated for ...foul/spill flow when ...continuation flow volume during this time would be 9000 ...
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Influence maximization on families of graphs
... We explore the behavior of diffusion models on several families of graphs, where by “graph family” we mean a set of graphs that all share a specific property. Many authors have studied diffusion, but most research ...
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Analysis Study of Routing Protocols in MANET
... Directed Acyclic Graph (DAG) of the route from the source node to the destination In this protocol, direction of the link between two nodes determined by height ...
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Bayesian Network Learning via Topological Order
... directed graph G is a subgraph of G that creates a DAG when the arcs in the feedback arc set are removed from ...reducible flow graphs (Ramachandran, 1988), and a polynomial time approximation scheme was ...
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Correlation between the Topic and Documents Based on the Pachinko Allocation Model
... integrate data mining techniques with statistical topic modelling techniques to generate a pattern-based topic model to represent documents and document ...
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Complex System Reliability »
... directed acyclic graph to reliability block diagram by as- sociating vertices with components in a system and edges with relationships among ...the flow can pass through it ...the flow is pre- ...
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A study of Mobile Ad-hoc Network-Challenges, Characteristics, Applications and Routing
... It is a reactive routing protocol where link between nodes is established creating using Directed Acyclic Graph (DAG) of the route from the source node to the destination. It uses link reversal model in ...
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A graph-based factor screening method for synchronous data flow simulation models
... Without this detailed information on implementation, it is impossible to determine if the proposed importance measures for the inputs of this example are good. Even without testing, it is still easy to see one of the ...
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On maximum spanning DAG algorithms for semantic DAG parsing
... A directed acyclic graph (DAG) is a directed graph with no cycles. There is a special kind of DAG, which has a special node called a root with no incoming edges and in which there is a unique path ...
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Linguistics to Structure Unstructured Information
... As part of ORDO, DFKI has developed the MDParser, which is a very fast multilingual trainable dependency parser, which also exists as a SMILA compo- nent [2]. MDParser has been adapted to a new highly efficient linear ...
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