1091 search results - page 163 / 219 » Learning Models for Predicting Recognition Performance |
161
Voted
JMLR
2008
15 years 2 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
179
Voted
WWW
2010
ACM
15 years 9 months ago
2010
ACM
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
128
Voted
KDD
2007
ACM
16 years 3 months ago
2007
ACM
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
150
Voted
ICML
2000
IEEE
16 years 3 months ago
2000
IEEE
If all features causing heterogeneity were observed, a mixture of experts approach (Jacobs et al., 1991) is likely to be superior to using a single model. When unobserved or very n...
156
Voted
ISF
2008
15 years 2 months ago
2008
This article examines how emerging pervasive computing and affective computing technologies might enhance the adoption of ICT in e-Learning which takes place in the home and wider ...