ICML
2001
IEEE
15 years 7 days ago
2001
IEEE
This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...
ICML
2001
IEEE
15 years 7 days ago
2001
IEEE
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
ICML
2001
IEEE
15 years 7 days ago
2001
IEEE
We report on the successful application of feature selection methods to a classification problem in molecular biology involving only 72 data points in a 7130 dimensional space. Ou...
ICML
2001
IEEE
15 years 7 days ago
2001
IEEE
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
ICML
2001
IEEE
15 years 7 days ago
2001
IEEE
A single signal processing algorithm can be represented by many mathematically equivalent formulas. However, when these formulas are implemented in code and run on real machines, ...
ICML
2001
IEEE
15 years 7 days ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
ICML
2001
IEEE
15 years 7 days 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,...
ICML
2001
IEEE
15 years 7 days ago
2001
IEEE
ICML
2001
IEEE
15 years 7 days ago
2001
IEEE
ICML
2001
IEEE
15 years 7 days ago
2001
IEEE
This paper introduces multiple instance regression, a variant of multiple regression in which each data point may be described by more than one vector of values for the independen...