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Results 1 - 10
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608
HYPERGRAPH MODELS OF PLAYLIST DIALECTS
"... Playlist generation is an important task in music information retrieval. While previous work has treated a playlist collection as an undifferentiated whole, we propose to build playlist models which are tuned to specific categories or dialects of playlists. Toward this end, we develop a general clas ..."
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Cited by 5 (0 self)
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class of flexible and scalable playlist models based upon hypergraph random walks. To evaluate the proposed models, we present a large corpus of categorically annotated, user-generated playlists. Experimental results indicate that category-specific models can provide substantial improvements in accuracy
Conformal Prediction under Hypergraphical Models∗
"... Conformal predictors are usually defined and studied under the exchangeability assumption. However, their definition can be extended to a wide class of statistical models, called online compression models, while retaining their property of automatic validity. This paper is devoted to conformal predi ..."
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prediction under hypergraphical models that are more specific than the exchange-ability model. We define conformity measures for such hypergraphical models and study the corresponding conformal predictors empirically on benchmark LED data sets. Our experiments show that they are more efficient than conformal
A Directed Hypergraph Model for RDF
"... RDF is a proposal of the W3C to express metadata about resources in the Web. The RDF data model allows several representations, each one with its own limitations at expressive power and support for the tasks of query answering and semantic reasoning. In this paper, we present a directed hypergraph m ..."
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RDF is a proposal of the W3C to express metadata about resources in the Web. The RDF data model allows several representations, each one with its own limitations at expressive power and support for the tasks of query answering and semantic reasoning. In this paper, we present a directed hypergraph
Revisiting hypergraph models for sparse matrix partitioning
- SIAM Review
, 2007
"... Abstract. We provide an exposition of hypergraph models for parallelizing sparse matrix-vector multiplies. Our aim is to emphasize the expressive power of hypergraph models. First, we set forth an elementary hypergraph model for the parallel matrix-vector multiply based on one-dimensional (1D) matri ..."
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Cited by 21 (12 self)
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Abstract. We provide an exposition of hypergraph models for parallelizing sparse matrix-vector multiplies. Our aim is to emphasize the expressive power of hypergraph models. First, we set forth an elementary hypergraph model for the parallel matrix-vector multiply based on one-dimensional (1D
Experiments on Hypergraph Models for Parallelizing Preconditioned Iterative Methods ∗
, 2004
"... We have developed hypergraph models to efficiently parallelize the preconditioned iterative methods that use explicit preconditioners. The models are discussed elsewhere. Here, we report our experiments. ..."
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Cited by 1 (1 self)
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We have developed hypergraph models to efficiently parallelize the preconditioned iterative methods that use explicit preconditioners. The models are discussed elsewhere. Here, we report our experiments.
Hypergraph Models And Algorithms For The Assembly Problem
, 1992
"... We consider the problem of finding an optimal set of feasible assembly operations in order to derive a desired product from a given set of parts. We show that optimal solutions, under different objective functions, can be obtained by means of computationally efficient hypergraph algorithms. In parti ..."
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Cited by 7 (1 self)
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We consider the problem of finding an optimal set of feasible assembly operations in order to derive a desired product from a given set of parts. We show that optimal solutions, under different objective functions, can be obtained by means of computationally efficient hypergraph algorithms
Characterization of Noise removal based on Hypergraph model of Images
"... The quality of the image plays a vital role in image processing technique. It can be determined by the removal of the noisy pixels in the images. In this paper, we designed the hypergraph model for the representation of images. We use noise removal algorithm for digital images.This algorithm is base ..."
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The quality of the image plays a vital role in image processing technique. It can be determined by the removal of the noisy pixels in the images. In this paper, we designed the hypergraph model for the representation of images. We use noise removal algorithm for digital images.This algorithm
A Hypergraph Model for Railway Vehicle Rotation Planning
- 11th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2011), volume 20 of OpenAccess Series in Informatics (OASIcs
, 2011
"... We propose a model for the integrated optimization of vehicle rotations and vehicle compositions in long distance railway passenger transport. The main contribution of the paper is a hyper-graph model that is able to handle the challenging technical requirements as well as very general stipulations ..."
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Cited by 2 (1 self)
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We propose a model for the integrated optimization of vehicle rotations and vehicle compositions in long distance railway passenger transport. The main contribution of the paper is a hyper-graph model that is able to handle the challenging technical requirements as well as very general stipulations
Running Head: Protein Hypergraph Model and Partitioning Algorithms
"... Relationships among amino acids determine stability and function and are also constrained by evolutionary history. We develop a probabilistic hypergraph model of residue relationships that generalizes traditional pairwise contact potentials to account for the statistics of multi-residue interactions ..."
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Relationships among amino acids determine stability and function and are also constrained by evolutionary history. We develop a probabilistic hypergraph model of residue relationships that generalizes traditional pairwise contact potentials to account for the statistics of multi
Results 1 - 10
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608
