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CIKM
2008
Springer
13 years 9 months ago
SoRec: social recommendation using probabilistic matrix factorization
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King
NIPS
2008
13 years 8 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
IPSN
2010
Springer
14 years 1 months ago
Distributed estimation of linear acceleration for improved accuracy in wireless inertial motion capture
Motion capture using wireless inertial measurement units (IMUs) has many advantages over other techniques. Achieving accurate tracking with IMUs presents a processing challenge, e...
A. D. Young, M. J. Ling, D. K. Arvind
ECMDAFA
2006
Springer
228views Hardware» more  ECMDAFA 2006»
13 years 10 months ago
Model Driven Development of Multi-Agent Systems
Abstract. Design patterns are templates of general solutions to commonlyoccurring problems in the analysis and design of software systems. In mature development processes, engineer...
Juan Pavón, Jorge J. Gómez-Sanz, Rub...
CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
14 years 20 days ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...