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KDD
2007
ACM
244views Data Mining» more  KDD 2007»
14 years 10 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni
JSAC
2010
104views more  JSAC 2010»
13 years 8 months ago
A priority-based processor sharing model for TDM passive optical networks
—The use of passive optical networks (PONs) enables access rates of multi-Gbit/sec bandwidth and provision of quality of service for high definition multimedia services. In this...
Yan Wang, Moshe Zukerman, Ron Addie, Sammy Chan, R...
AAAI
2011
12 years 10 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 10 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
PERVASIVE
2005
Springer
14 years 3 months ago
Collaborative Sensing in a Retail Store Using Synchronous Distributed Jam Signalling
The retail store environment is a challenging application area for Pervasive Computing technologies. It has demanding base conditions due to the number and complexity of the interd...
Albert Krohn, Tobias Zimmer, Michael Beigl, Christ...