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KDD
2010
ACM
222views Data Mining» more  KDD 2010»
15 years 9 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...
ETRA
2008
ACM
120views Biometrics» more  ETRA 2008»
15 years 9 months ago
Eye movement prediction by Kalman filter with integrated linear horizontal oculomotor plant mechanical model
The goal of this paper is to predict future horizontal eye movement trajectories within a specified time interval. To achieve this goal a linear horizontal oculomotor plant mechan...
Oleg Komogortsev, Javed I. Khan
IJCAI
2007
15 years 9 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
SODA
2001
ACM
87views Algorithms» more  SODA 2001»
15 years 9 months ago
A linear lower bound on index size for text retrieval
Most information-retrieval systems preprocess the data to produce an auxiliary index structure. Empirically, it has been observed that there is a tradeoff between query response t...
Erik D. Demaine, Alejandro López-Ortiz
ICA
2010
Springer
15 years 8 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio