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» Prediction on Spike Data Using Kernel Algorithms
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ECIR
2010
Springer
15 years 7 months ago
Query Difficulty Prediction for Contextual Image Retrieval
Abstract. This paper explores how to predict query difficulty for contextual image retrieval. We reformulate the problem as the task of predicting how difficult to represent a quer...
Xing Xing, Yi Zhang 0001, Mei Han
164
Voted
IPPS
2007
IEEE
16 years 12 days ago
A Comparative Study of Parallel Metaheuristics for Protein Structure Prediction on the Computational Grid
A comparative study of parallel metaheuristics executed in grid environments is proposed, having as case study a genetic algorithm, a simulated annealing algorithm and a random se...
Alexandru-Adrian Tantar, Nouredine Melab, El-Ghaza...
PROMISE
2010
15 years 26 days ago
Replication of defect prediction studies: problems, pitfalls and recommendations
Background: The main goal of the PROMISE repository is to enable reproducible, and thus verifiable or refutable research. Over time, plenty of data sets became available, especial...
Thilo Mende
141
Voted
DCC
2000
IEEE
15 years 10 months ago
Lossless Compression of High-Volume Numerical Data from Simulations
Applications in scientific computing operate with high-volume numerical data and the occupied space should be reduced. Traditional compression algorithms cannot provide sufficie...
Vadim Engelson, Dag Fritzson, Peter Fritzson
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 6 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...