2683 search results - page 113 / 537 » Machine learning problems from optimization perspective |
138
click to vote
MLDM
2009
Springer
15 years 9 months ago
2009
Springer
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
192
click to vote
VLSISP
2011
14 years 9 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
119
click to vote
ICML
1998
IEEE
16 years 3 months ago
1998
IEEE
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
135
Voted
ICML
2002
IEEE
16 years 3 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
126
click to vote
ECCC
2007
15 years 2 months ago
2007
We study the notion of learning in an oblivious changing environment. Existing online learning algorithms which minimize regret are shown to converge to the average of all locally...