Sciweavers

113
Voted
ECAI
2006
Springer
15 years 4 months ago
Efficient Knowledge Acquisition for Extracting Temporal Relations
Abstract. Machine learning approaches in natural language processing often require a large annotated corpus. We present a complementary approach that utilizes expert knowledge to o...
Son Bao Pham, Achim G. Hoffmann
99
Voted
COLT
2006
Springer
15 years 4 months ago
Online Variance Minimization
We design algorithms for two online variance minimization problems. Specifically, in every trial t our algorithms get a covariance matrix Ct and try to select a parameter vector wt...
Manfred K. Warmuth, Dima Kuzmin
88
Voted
COLT
2006
Springer
15 years 4 months ago
Competing with Wild Prediction Rules
Vladimir Vovk
86
Voted
COLT
2006
Springer
15 years 4 months ago
Predictions as Statements and Decisions
Vladimir Vovk
178
Voted
COLT
2006
Springer
15 years 4 months ago
Learning Bounds for Support Vector Machines with Learned Kernels
Nathan Srebro, Shai Ben-David
120
Voted
COLT
2006
Springer
15 years 4 months ago
Online Learning Meets Optimization in the Dual
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
91
Voted
COLT
2006
Springer
15 years 4 months ago
Ranking with a P-Norm Push
We are interested in supervised ranking with the following twist: our goal is to design algorithms that perform especially well near the top of the ranked list, and are only requir...
Cynthia Rudin
96
Voted
COLT
2006
Springer
15 years 4 months ago
Efficient Algorithms for General Active Learning
Claire Monteleoni
111
Voted
COLT
2006
Springer
15 years 4 months ago
Mercer's Theorem, Feature Maps, and Smoothing
We study Mercer's theorem and feature maps for several positive definite kernels that are widely used in practice. The smoothing properties of these kernels will also be explo...
Ha Quang Minh, Partha Niyogi, Yuan Yao
84
Voted
COLT
2006
Springer
15 years 4 months ago
The Rademacher Complexity of Linear Transformation Classes
Bounds are given for the empirical and expected Rademacher complexity of classes of linear transformations from a Hilbert space H to a ...nite dimensional space. The results imply ...
Andreas Maurer