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NIPS
2007
15 years 2 months ago
A general agnostic active learning algorithm
We present a simple, agnostic active learning algorithm that works for any hypothesis class of bounded VC dimension, and any data distribution. Our algorithm extends a scheme of C...
Sanjoy Dasgupta, Daniel Hsu, Claire Monteleoni
ML
2008
ACM
100views Machine Learning» more  ML 2008»
15 years 1 months ago
Generalized ordering-search for learning directed probabilistic logical models
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendri...
ICML
2005
IEEE
16 years 2 months ago
A comparison of tight generalization error bounds
We investigate the empirical applicability of several bounds (a number of which are new) on the true error rate of learned classifiers which hold whenever the examples are chosen ...
John Langford, Matti Kääriäinen
COLT
2005
Springer
15 years 3 months ago
Data Dependent Concentration Bounds for Sequential Prediction Algorithms
Abstract. We investigate the generalization behavior of sequential prediction (online) algorithms, when data are generated from a probability distribution. Using some newly develop...
Tong Zhang
PAAMS
2010
Springer
14 years 11 months ago
Forest Fires Prediction by an Organization Based System
In this study, a new organization based system for forest fires prediction is presented. It is an Organization Based System for Forest Fires Forecasting (OBSFFF). The core of the s...
Aitor Mata, Belén Pérez Lancho, Juan...