254 search results - page 24 / 51 » Multi-interval Discretization Methods for Decision Tree Lear... |
108
Voted
IDEAL
2000
Springer
15 years 5 months ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
109
Voted
UAI
2000
15 years 3 months ago
2000
We propose a new approach to the problem of searching a space of policies for a Markov decision process (MDP) or a partially observable Markov decision process (POMDP), given a mo...
128
Voted
AAAI
2011
14 years 1 months ago
2011
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
146
Voted
SIGIR
2011
ACM
14 years 4 months ago
2011
ACM
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
116
Voted
NIPS
2001
15 years 3 months ago
2001
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...