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DIS
2006
Springer
15 years 11 months ago
Incremental Algorithm Driven by Error Margins
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
Gonzalo Ramos-Jiménez, José del Camp...
220
Voted
INFOCOM
2000
IEEE
15 years 11 months ago
A Modular Approach to Packet Classification: Algorithms and Results
The ability to classify packets according to pre-defined rules is critical to providing many sophisticated value-added services, such as security, QoS, load balancing, traffic acco...
Thomas Y. C. Woo
SC
2000
ACM
15 years 11 months ago
A Unified Algorithm for Load-balancing Adaptive Scientific Simulations
Adaptive scientific simulations require that periodic repartitioning occur dynamically throughout the course of the computation. The repartitionings should be computed so as to mi...
Kirk Schloegel, George Karypis, Vipin Kumar
KDD
1995
ACM
167views Data Mining» more  KDD 1995»
15 years 11 months ago
Efficient Algorithms for Attribute-Oriented Induction
Data mining or knowledge discovery in databasesis the search for relationships and global patterns that exist but are hidden in large databases.Many different methodshave been pro...
Hoi-Yee Hwang, Ada Wai-Chee Fu
STOC
1995
ACM
194views Algorithms» more  STOC 1995»
15 years 11 months ago
Transforming cabbage into turnip: polynomial algorithm for sorting signed permutations by reversals
Genomes frequently evolve by reversals ␳(i, j) that transform a gene order ␲1 . . . ␲i␲iϩ1 . . . ␲jϪ1␲j . . . ␲n into ␲1 . . . ␲i␲jϪ1 . . . ␲iϩ1␲j . . ....
Sridhar Hannenhalli, Pavel A. Pevzner