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Incorporating SAT Solvers into Hierarchical Clustering Algorithms
Aug 24, 2011 ... Incorporating SAT Solvers into Hierarchical Clustering. Algorithms - An Efficient and Flexible Approach. Sean Gilpin. Department of Computer ...
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Constrained Clustering Using SAT - Bruno Crémilleux - Greyc
fective constraint-clustering approach handling a large set of constraints ... tering methods that use heuristics or greedy algorithms, our method is complete. Second, we define an efficient SAT encoding which integrates features of SAT ...... Gilpin, S., Davidson, I.: Incorporating SAT solvers into hierarchical clustering al-.
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Modelling Electoral Map Creation - UBC Department of Computer
such as (i) simultaneously clustering the electoral districts into constituencies ... finding global optima for partitional and hierarchical clustering with new objec- ... SAT solvers have been used to model constraints [9] but the underlying clustering algorithm is still procedural. ..... gorithms: an efficient and flexible approach.
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A Declarative Framework for Constrained Clustering - ECML/PKDD
aims at integrating constraints in the clustering process, but the algorithms are ... Clustering is the process of grouping data into classes or clusters, so that objects .... In a CP solver, two steps, constraint propagation and branching, are repeated .... A SAT framework [20] is proposed for constrained clustering, but only for a.
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2016 VLSI DAT AP General Information
Apr 27, 2016 ... proposed for event-driven energy-efficient sensor-fusion platforms. .... synchronization messages, and can be easily integrated into a ... An application of this unsupervised hierarchical clustering algorithm in image ...... In this thesis, an area minimization method for CMOS circuits using SAT-solver in 1-D ...
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Constrained Clustering by Constraint Programming - FTP Directory
declaratively the problem in a Constraint Satisfaction Problem; (2) solvers search .... 4.2.2 A SAT framework for constrained clustering with 2 clusters . ..... Declarative frameworks may be less efficient than classic algorithms for a specific task, but it is more flexible and general, easy to incorporate new knowledge to the task.
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A Survey of Schema-based Matching Approaches - Department of
A first step in integrating the schemas is to identify candidates to be merged or ... For example, in Figure 1, according to some matching algorithm based on linguistic ..... into smaller sub-problems, thus generating a set of schema/ontology .... The unsatisfiability is checked by using state of the art SAT solvers. .... to efficiency.
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IWQB2013 Abstract Booklet is now available from - Funahashi Lab.
Nov 25, 2013 ... dividing sessions into different topics. By putting forward the .... title: Flexibility in early animal developmental system. 1-3 speaker: Yu-Chiun ...
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Hypergraph Partitioning and Clustering - EECS - University of
Partitioning heuristics must be highly efficient in order to be useful in VLSI design. 1 Be- ... Boolean satisfiability (SAT) [54, 59] solvers and binary decision diagrams (BDDs) [13] .... (FM) algorithm [27], which applies linear-time passes to iteratively improve a .... During clustering, hypergraph vertices are combined into clusters.
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Data Mining: From procedural to declar- ative - Lirias - KU Leuven
process easier, more flexible, more efficient, and more correct. Keywords ... They have to select first an algorithm, and then a parametrization for ... In the procedural approach, currently the ... ally drills deeper into the topic of declarative data analysis. ...... satisfiability problem, and IDP's built-in SAT solver is used to solve it.
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Download (395Kb) - WRAP - University of Warwick
... many greedy search algorithms such as agglomerative hierarchical clustering ( AHC) is that ... This is not the case with weighted MAX-SAT solvers gen- erally.
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Clustering With Multi-Layer Graphs: A Spectral - MIT Media Lab
values. The goal is to find an assignment of the objects into ... proved clustering results by efficient merging and completion ... the second approach, we propose a graph regularization method ... we review briefly the spectral clustering algorithm, which is one ..... sible on the line, with the condition that the mapping vector sat-.
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An Outlook on Design Technologies for Future Integrated - EPFL
They realize algorithms and procedures that are rooted both in .... efficiency as well as new means to communicate and to interact with the .... of research is to develop robust exact solvers for fundamental problems, such as ... to SAT. This approach has been .... dard cells and other styles because of flexibility and the need.
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Feb 27, 2003 ... PhD Thesis: ”Building-in Decision Procedures into Theorem ... Groups on Hyperbolical Plane — Computational Approach”; ... Fellowship grant GR/R52954 /01, entitled ,,Flexible Incorporation of ..... Efficiency“ .... Instance-based Selection of Strategies for SAT Solvers“ ..... Simple algorithm portfolio for SAT“.
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Download thesis (PDF) - TSpace - University of Toronto
The second approach is to modify the FPGA architecture such that a .... 4 SAT/ PathFinder Hybrid Routing .... requires first synthesizing that circuit into a netlist of LUTs and memory ... currently used FPGA routing algorithm (PathFinder [71]). .... AP techniques use solvers that require the placement objective function be both ...
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National Security Agency - Cryptome
providing the algorithm with variants of a ... divided into segments, and a pitch value is extracted .... (CNF) such as CNF SAT solvers or solve for all inputs such as ... efficiency of this approach by reducing resource .... Customizable device shapes provide application flexibility ..... through the incorporation of automatic error.
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A Stochastic Hyperheuristic for Unsupervised Matching of Partial
Sep 21, 2012 ... tralised problem solver uses a hyperheuristic with a matching ... the problem datasets are randomly placed into a grid and ... contain related information can be combined in an efficient ... solve problems using either a hill-climbing approach or the .... a hierarchical clustering algorithm that might be more.
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Semi-Supervised Nonlinear Distance Metric Learning via Forests of
Feb 23, 2014 ... supervised, max-margin clustering, hierarchical clustering. 1 Introduction .... efficient metric inference, our splitting algorithm must gen-.
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