766 search results - page 75 / 154 » Online Variance Minimization |
109
click to vote
CHI
2011
ACM
14 years 3 months ago
2011
ACM
Many people read online reviews written by other users to learn more about a product or venue. However, the overwhelming amount of user-generated reviews and variance in length, d...
ICML
2006
IEEE
16 years 21 days ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
AAIM
2009
Springer
15 years 6 months ago
2009
Springer
In the frequency assignment problem we are given a graph representing a wireless network and a sequence of requests, where each request is associated with a vertex. Each request h...
SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
103
click to vote
ICML
2010
IEEE
15 years 29 days ago
2010
IEEE
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...