2634 search results - page 274 / 527 » Argument based machine learning |
140
Voted
ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
148
Voted
ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
This work is concerned with the estimation of a classifier's accuracy. We first review some existing methods for error estimation, focusing on cross-validation and bootstrap,...
119
Voted
ICML
1996
IEEE
16 years 3 months ago
1996
IEEE
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
120
Voted
ICML
1995
IEEE
16 years 3 months ago
1995
IEEE
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
71
Voted
ALT
2005
Springer
15 years 11 months ago
2005
Springer
Abstract. We describe and analyze an algorithm for predicting a sequence of n-dimensional binary vectors based on a set of experts making vector predictions in [0, 1]n . We measure...