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» Boosting Methods for Regression
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83
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ICML
2009
IEEE
15 years 11 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
66
Voted
ICIP
2004
IEEE
15 years 11 months ago
Efficient face orientation discrimination
This paper presents efficient methods to address the problem of discriminating between five facial orientations. We present the most efficient methods for this task to date, which...
Shumeet Baluja, Mehran Sahami, Henry A. Rowley
NIPS
2001
14 years 11 months ago
Reducing multiclass to binary by coupling probability estimates
This paper presents a method for obtaining class membership probability estimates for multiclass classification problems by coupling the probability estimates produced by binary c...
B. Zadrozny
54
Voted
ECAI
2000
Springer
15 years 2 months ago
Tree-based Heuristics in Modal Theorem Proving
We use a strong form of the tree model property to boost the performance of resolution-based first-order theorem provers on the so-called relational translations of modal formulas...
Carlos Areces, Rosella Gennari, Juan Heguiabehere,...
AAAI
2006
14 years 11 months ago
Disco - Novo - GoGo: Integrating Local Search and Complete Search with Restarts
A hybrid algorithm is devised to boost the performance of complete search on under-constrained problems. We suggest to use random variable selection in combination with restarts, ...
Meinolf Sellmann, Carlos Ansótegui