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ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
15 years 4 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
ALT
2008
Springer
16 years 3 months ago
Exploiting Cluster-Structure to Predict the Labeling of a Graph
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
Mark Herbster
INFOCOM
2009
IEEE
16 years 1 months ago
Smart Trend-Traversal: A Low Delay and Energy Tag Arbitration Protocol for Large RFID Systems
—We propose a Smart Trend-Traversal (STT) protocol for RFID tag arbitration, which effectively reduces the collision overhead occurred in the arbitration process. STT, a Query Tr...
Lei Pan, Hongyi Wu
HICSS
2008
IEEE
122views Biometrics» more  HICSS 2008»
16 years 1 months ago
Pedagogy and Overview of a Graduate Program in Digital Investigation Management
Although still a relatively new undergraduate course of study at most colleges and universities, specialized degree programs in computer forensics and digital investigations are n...
Gary C. Kessler, Don Haggerty
ECML
2007
Springer
16 years 21 days ago
Weighted Kernel Regression for Predicting Changing Dependencies
Abstract. Consider the online regression problem where the dependence of the outcome yt on the signal xt changes with time. Standard regression techniques, like Ridge Regression, d...
Steven Busuttil, Yuri Kalnishkan