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ICCBR
1997
Springer
15 years 10 months ago
Examining Locally Varying Weights for Nearest Neighbor Algorithms
Previous work on feature weighting for case-based learning algorithms has tended to use either global weights or weights that vary over extremely local regions of the case space. T...
Nicholas Howe, Claire Cardie
PR
2006
127views more  PR 2006»
15 years 6 months ago
Unsupervised possibilistic clustering
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
Miin-Shen Yang, Kuo-Lung Wu
ICASSP
2011
IEEE
14 years 10 months ago
Using latent topic features to improve binary classification of spoken documents
In many topic identification applications, supervised training labels are indirectly related to the semantic content of the documents being classified. For example, many topical...
Jonathan Wintrode
EDBT
2008
ACM
161views Database» more  EDBT 2008»
16 years 6 months ago
Load distribution of analytical query workloads for database cluster architectures
Enterprises may have multiple database systems spread across the organization for redundancy or for serving different applications. In such systems, query workloads can be distrib...
Thomas Phan, Wen-Syan Li
MICRO
2010
IEEE
153views Hardware» more  MICRO 2010»
15 years 4 months ago
Scalable Speculative Parallelization on Commodity Clusters
While clusters of commodity servers and switches are the most popular form of large-scale parallel computers, many programs are not easily parallelized for execution upon them. In...
Hanjun Kim, Arun Raman, Feng Liu, Jae W. Lee, Davi...