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» Specialized Review Selection for Feature Rating Estimation
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SAC
2010
ACM
13 years 11 months ago
Feature selection for ordinal regression
Ordinal regression (also known as ordinal classification) is a supervised learning task that consists of automatically determining the implied rating of a data item on a fixed, ...
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
HCI
2009
13 years 2 months ago
Feature Extraction and Selection for Inferring User Engagement in an HCI Environment
We present our work towards estimating the engagement of a person to the displayed information of a computer monitor. Deciding whether a user is attentive or not, and frustrated or...
Stylianos Asteriadis, Kostas Karpouzis, Stefanos D...
CIKM
2008
Springer
13 years 6 months ago
Information shared by many objects
If Kolmogorov complexity [25] measures information in one object and Information Distance [4, 23, 24, 42] measures information shared by two objects, how do we measure information...
Chong Long, Xiaoyan Zhu, Ming Li, Bin Ma
BMCBI
2008
129views more  BMCBI 2008»
13 years 4 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
RECSYS
2009
ACM
13 years 11 months ago
Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
Akhmed Umyarov, Alexander Tuzhilin