Sciweavers

107 search results - page 10 / 22
» General Loss Bounds for Universal Sequence Prediction
Sort
View
CJ
2008
97views more  CJ 2008»
13 years 7 months ago
Three Kinds of Probabilistic Induction: Universal Distributions and Convergence Theorems
We will describe three kinds of probabilistic induction problems, and give general solutions for each , with associated convergence theorems that show they tend to give good proba...
Ray J. Solomonoff
COLT
2010
Springer
13 years 5 months ago
Regret Minimization With Concept Drift
In standard online learning, the goal of the learner is to maintain an average loss that is "not too big" compared to the loss of the best-performing function in a fixed...
Koby Crammer, Yishay Mansour, Eyal Even-Dar, Jenni...
CIDU
2010
13 years 5 months ago
Tracking Climate Models
Abstract. Climate models are complex mathematical models designed by meteorologists, geophysicists, and climate scientists to simulate and predict climate. Given temperature predic...
Claire Monteleoni, Gavin Schmidt, Shailesh Saroha
BIOINFORMATICS
2010
87views more  BIOINFORMATICS 2010»
13 years 7 months ago
Improving protein secondary structure prediction using a simple k-mer model
Motivation: Existing methods for protein sequence analysis are generally firstorder and inherently assume that each position is independent. We develop a general framework for int...
Martin Madera, Ryan Calmus, Grant Thiltgen, Kevin ...
TIT
2011
140views more  TIT 2011»
13 years 2 months ago
Sequential Quantile Prediction of Time Series
Motivated by a broad range of potential applications, we address the quantile prediction problem of real-valued time series. We present a sequential quantile forecasting model bas...
Gérard Biau, Benoît Patra