2683 search results - page 161 / 537 » Machine learning problems from optimization perspective |
115
Voted
ECML
2005
Springer
15 years 8 months ago
2005
Springer
The multi-armed bandit problem for a gambler is to decide which arm of a K-slot machine to pull to maximize his total reward in a series of trials. Many real-world learning and opt...
93
Voted
AAAI
2008
15 years 5 months ago
2008
Machine learning approaches to indoor WiFi localization involve an offline phase and an online phase. In the offline phase, data are collected from an environment to build a local...
121
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
When the goal is to achieve the best correct classification rate, cross entropy and mean squared error are typical cost functions used to optimize classifier performance. However,...
117
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
101
Voted
ECML
1993
Springer
15 years 6 months ago
1993
Springer
This paper addresses the problem of classifying observations when features are context-sensitive, specifically when the testing set involves a context that is different from the t...