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106
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NIPS
2007
15 years 5 months ago
Boosting Algorithms for Maximizing the Soft Margin
We present a novel boosting algorithm, called SoftBoost, designed for sets of binary labeled examples that are not necessarily separable by convex combinations of base hypotheses....
Manfred K. Warmuth, Karen A. Glocer, Gunnar Rä...
121
Voted
JIPS
2006
129views more  JIPS 2006»
15 years 3 months ago
ASVMRT: Materialized View Selection Algorithm in Data Warehouse
: In order to acquire a precise and quick response to an analytical query, proper selection of the views to materialize in the data warehouse is crucial. In traditional view select...
Jin-Hyuk Yang, In-Jeong Chung
ALT
2004
Springer
16 years 16 days ago
Relative Loss Bounds and Polynomial-Time Predictions for the k-lms-net Algorithm
We consider a two-layer network algorithm. The first layer consists of an uncountable number of linear units. Each linear unit is an LMS algorithm whose inputs are first “kerne...
Mark Herbster
103
Voted
IPPS
2007
IEEE
15 years 10 months ago
Performance Analysis of a Family of WHT Algorithms
This paper explores the correlation of instruction counts and cache misses to runtime performance for a large family of divide and conquer algorithms to compute the Walsh–Hadama...
Michael Andrews, Jeremy Johnson
141
Voted
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 7 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace