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» Inference Algorithms for Similarity Networks
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SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 8 months 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»
15 years 5 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»
16 years 15 hour 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
16 years 11 days 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 12 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...