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BMCBI
2010
121views more  BMCBI 2010»
13 years 6 months ago
A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequences
Background: We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. T...
David J. Russell, Samuel F. Way, Andrew K. Benson,...
TALG
2010
158views more  TALG 2010»
13 years 3 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...
JAIR
2008
119views more  JAIR 2008»
13 years 8 months ago
A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
Sherief Abdallah, Victor R. Lesser
ICCSA
2004
Springer
14 years 2 months ago
Packing: Scheduling, Embedding, and Approximating Metrics
Abstract. Many problems in computer science are related to scheduling problems or embedding problems. Therefore it is an interesting topic to find efficient (approximation) algori...
Hu Zhang
DSD
2007
IEEE
120views Hardware» more  DSD 2007»
14 years 3 months ago
Latency Minimization for Synchronous Data Flow Graphs
Synchronous Data Flow Graphs (SDFGs) are a very useful means for modeling and analyzing streaming applications. Some performance indicators, such as throughput, have been studied b...
Amir Hossein Ghamarian, Sander Stuijk, Twan Basten...