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» Inference Algorithms for Similarity Networks
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SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 7 days ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
ALGORITHMICA
1999
99views more  ALGORITHMICA 1999»
14 years 9 months ago
Evolutionary Trees and Ordinal Assertions
Sequence data for a group of species is often summarized by a distance matrix M where M[s, t] is the dissimilarity between the sequences of species s and t. An ordinal assertion is...
Paul E. Kearney, Ryan Hayward, Henk Meijer
ICC
2008
IEEE
126views Communications» more  ICC 2008»
15 years 4 months ago
Discovering Packet Structure through Lightweight Hierarchical Clustering
— The complexity of current Internet applications makes the understanding of network traffic a challenging task. By providing larger-scale aggregates for analysis, unsupervised ...
Abdulrahman Hijazi, Hajime Inoue, Ashraf Matrawy, ...
ACSC
2009
IEEE
15 years 4 months ago
HOPPER: a hierarchical planning agent for unpredictable domains
Hierarchical Task Networks (HTNs) are a family of powerful planning algorithms that have been successfully applied to many complex, real-world domains. However, they are limited t...
Maciej Wojnar, Peter Andreae
ISQED
2007
IEEE
109views Hardware» more  ISQED 2007»
15 years 4 months ago
Virtual Channels Planning for Networks-on-Chip
The virtual channel flow control (VCFC) provides an efficient implementation for on-chip networks. However, allocating the virtual channels (VCs) uniformly results in a waste of a...
Ting-Chun Huang, Ümit Y. Ogras, Radu Marcules...