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» The computational complexity of choice sets
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EWCBR
2006
Springer
15 years 3 months ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore
CORR
2010
Springer
76views Education» more  CORR 2010»
14 years 12 months ago
Nonadaptive quantum query complexity
We study the power of nonadaptive quantum query algorithms, which are algorithms whose queries to the input do not depend on the result of previous queries. First, we show that an...
Ashley Montanaro
ISVC
2005
Springer
15 years 5 months ago
Simulating Complex Organ Interactions: Evaluation of a Soft Tissue Discrete Model
Abstract. Computer assisted procedures play a key role in the improvement of surgical operations. The current techniques in simulation potentially lead to more accuracy, more safet...
Maud Marchal, Emmanuel Promayon, Jocelyne Troccaz
SAC
2009
ACM
15 years 4 months ago
Incremental board: a grid-based space for visualizing dynamic data sets
In Information Visualization, adding and removing data elements can strongly impact the underlying visual space. We introduce a chess board analogy for displaying (projecting) obj...
Roberto Pinho, Maria Cristina Ferreira de Oliveira...
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
15 years 9 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He