Sciweavers

12 search results - page 2 / 3
» Class Noise vs. Attribute Noise: A Quantitative Study
Sort
View
RECSYS
2009
ACM
13 years 12 months ago
Rate it again: increasing recommendation accuracy by user re-rating
A common approach to designing Recommender Systems (RS) consists of asking users to explicitly rate items in order to collect feedback about their preferences. However, users have...
Xavier Amatriain, Josep M. Pujol, Nava Tintarev, N...
SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
13 years 6 months ago
RBA: An Integrated Framework for Regression based on Association Rules
This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
APIN
2004
116views more  APIN 2004»
13 years 5 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
TMI
2010
132views more  TMI 2010»
13 years 2 days ago
Joint Reconstruction of Image and Motion in Gated Positron Emission Tomography
We present a novel method for joint reconstruction of both image and motion in positron-emission-tomography (PET). Most other methods separate image from motion estimation: They us...
Moritz Blume, Axel Martinez-Möller, Andreas K...
FOCS
1999
IEEE
13 years 9 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala