107 search results - page 7 / 22 » General Loss Bounds for Universal Sequence Prediction |
NIPS
1997
13 years 8 months ago
1997
We study on-line generalized linear regression with multidimensional outputs, i.e., neural networks with multiple output nodes but no hidden nodes. We allow at the final layer tra...
ALT
2005
Springer
14 years 4 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...
ALT
1999
Springer
13 years 11 months ago
1999
Springer
We are concerned with the problem of sequential prediction using a givenhypothesis class of continuously-manyprediction strategies. An e ectiveperformance measure is the minimax re...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
We consider the problem of reconstructing a discrete-time continuous-amplitude signal corrupted by a known memoryless channel with a general output alphabet. We develop a sequence ...
AI
1998
Springer
13 years 7 months ago
1998
Springer
The absolute loss is the absolute difference between the desired and predicted outcome. This paper demonstrates worst-case upper bounds on the absolute loss for the Perceptron le...