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GECCO
2004
Springer
13 years 10 months ago
Controlled Content Crossover: A New Crossover Scheme and Its Application to Optical Network Component Allocation Problem
In this paper, a new genetic mating scheme called Controlled Content Crossover (CCC) is proposed and applied to solve the optical network component allocation problem. In order to ...
Mohammad Amin Dallaali, Malin Premaratne
ECML
2007
Springer
13 years 10 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
EDBT
2006
ACM
105views Database» more  EDBT 2006»
14 years 4 months ago
HASE: A Hybrid Approach to Selectivity Estimation for Conjunctive Predicates
Current methods for selectivity estimation fall into two broad categories, synopsis-based and sampling-based. Synopsis-based methods, such as histograms, incur minimal overhead at ...
Xiaohui Yu, Nick Koudas, Calisto Zuzarte
KDD
2009
ACM
208views Data Mining» more  KDD 2009»
14 years 5 months ago
A principled and flexible framework for finding alternative clusterings
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
Zijie Qi, Ian Davidson
ICML
2002
IEEE
14 years 5 months ago
Partially Supervised Classification of Text Documents
We investigate the following problem: Given a set of documents of a particular topic or class ?, and a large set ? of mixed documents that contains documents from class ? and othe...
Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li
ICML
2004
IEEE
14 years 5 months ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer
ICPR
2008
IEEE
14 years 5 months ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Qiang Ji, Wenhui Liao
ICIP
1998
IEEE
14 years 6 months ago
Reducing the Computational Complexity of a Map Post-Processing Algorithm for Video Sequences
Maximum a posteriori (MAP) filtering using the HuberMarkov random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts i...
Mark A. Robertson, Robert L. Stevenson
ICIP
2005
IEEE
14 years 6 months ago
Progressive bitstream transmission over tandem channels
We propose a novel distortion minimization technique for the transmission of a packetized progressive bitstream. We consider tandem channels introducing bit errors and packet eras...
Farzad Etemadi, Homayoun Yousefi'zadeh, Hamid Jafa...
ICCV
2001
IEEE
14 years 6 months ago
Optimal Motion Estimation from Multiview Normalized Epipolar Constraint
In this paper, we study the structure from motion problem as a constrained nonlinear least squares problem which minimizes the so called reprojection error subject to all constrai...
René Vidal, Shankar Sastry, Shawn Hsu, Yi M...