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KDD
2004
ACM
132views Data Mining» more  KDD 2004»
14 years 8 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
CIIT
2004
13 years 9 months ago
Speeding up keyword search for search engines
In the current information age, the dominant method for information search is by providing few keywords to a search engine. Keyword search is currently one of the most important o...
Sanjay Baberwal, Ben Choi
HIS
2004
13 years 9 months ago
Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
Karla Figueiredo, Marley B. R. Vellasco, Marco Aur...
IS
2007
13 years 8 months ago
Mining association rules in very large clustered domains
Emerging applications introduce the requirement for novel association-rule mining algorithms that will be scalable not only with respect to the number of records (number of rows) ...
Alexandros Nanopoulos, Apostolos N. Papadopoulos, ...
JSAC
2006
79views more  JSAC 2006»
13 years 8 months ago
On the performance of multicarrier DS-CDMA with imperfect power control and variable spreading factors
Multicarrier direct-sequence code-division multiple access (MC-DS-CDMA) becomes an attractive technique for the future fourth-generation (4G) wireless system because it can flexibl...
Li-Chun Wang, Chih-Wen Chang