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CORR
2006
Springer
144views Education» more  CORR 2006»
13 years 10 months ago
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables
The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has received much attention in the past. Most previous wo...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen
NECO
2008
111views more  NECO 2008»
13 years 10 months ago
A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting
We analyze a neural network model of the Eriksen task, a twoalternative forced choice task in which subjects must correctly identify a central stimulus and disregard flankers that...
Yuan Sophie Liu, Philip Holmes, Jonathan D. Cohen
DATE
2008
IEEE
78views Hardware» more  DATE 2008»
14 years 4 months ago
Transistor-Specific Delay Modeling for SSTA
SSTA has received a considerable amount of attention in recent years. However, it is a general rule that any approach can only be as accurate as the underlying models. Thus, varia...
Brian Cline, Kaviraj Chopra, David Blaauw, Andres ...
WEBI
2004
Springer
14 years 3 months ago
Mining Local Data Sources For Learning Global Cluster Models
— Distributed data mining has recently caught a lot of attention as there are many cases where pooling distributed data for mining is probibited, due to either huge data volume o...
Chak-Man Lam, Xiaofeng Zhang, William Kwok-Wai Che...
APWEB
2006
Springer
14 years 2 months ago
Adaptive User Profile Model and Collaborative Filtering for Personalized News
Abstract. In recent years, personalized news recommendation has received increasing attention in IR community. The core problem of personalized recommendation is to model and track...
Jue Wang, Zhiwei Li, Jinyi Yao, Zengqi Sun, Mingji...