2615 search results - page 356 / 523 » Predictive Hebbian Learning |
176
Voted
ML
2002
ACM
15 years 3 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
136
Voted
SP
2002
IEEE
15 years 3 months ago
2002
IEEE
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
150
Voted
ISDA
2010
IEEE
15 years 1 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
184
Voted
WWW
2010
ACM
15 years 10 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...
101
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We consider the problem of choosing, sequentially, a map which assigns elements of a set A to a few elements of a set B. On each round, the algorithm suffers some cost associated ...