Sciweavers

2327 search results - page 9 / 466
» Consistency of functional learning methods based on derivati...
Sort
View
ECML
2007
Springer
14 years 1 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
ATAL
2005
Springer
14 years 1 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
SCALESPACE
2009
Springer
14 years 2 months ago
Momentum Based Optimization Methods for Level Set Segmentation
Abstract. Segmentation of images is often posed as a variational problem. As such, it is solved by formulating an energy functional depending on a contour and other image derived t...
Gunnar Läthén, Thord Andersson, Reiner...
ML
2002
ACM
145views Machine Learning» more  ML 2002»
13 years 7 months ago
Boosting Methods for Regression
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
Nigel Duffy, David P. Helmbold
CTRSA
2011
Springer
189views Cryptology» more  CTRSA 2011»
12 years 11 months ago
Ideal Key Derivation and Encryption in Simulation-Based Security
Abstract. Many real-world protocols, such as SSL/TLS, SSH, IPsec, IEEE 802.11i, DNSSEC, and Kerberos, derive new keys from other keys. To be able to analyze such protocols in a com...
Ralf Küsters, Max Tuengerthal