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ECML
2007
Springer
16 years 25 days ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
COMPSAC
2002
IEEE
15 years 11 months ago
A Shared Information System Architecture for Integrating Risk Management Tools: A Case Study
Many organizations would benefit from enterprise-wide, shared information systems. It is common for these organizations to have in place a number of smaller information systems, e...
Shaosong Xu, Hoh Peter In, Martin S. Feather
AAAI
2008
15 years 9 months ago
Transferring Localization Models across Space
Machine learning approaches to indoor WiFi localization involve an offline phase and an online phase. In the offline phase, data are collected from an environment to build a local...
Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. K...
GECCO
2008
Springer
164views Optimization» more  GECCO 2008»
15 years 7 months ago
Genetic algorithms with local search optimization for protein structure prediction problem
This paper presents a new Genetic Algorithm for Protein Structure Prediction problem in both 2D and 3D hydrophobichydrophilic lattice models, introduced in [1]. Our algorithm evol...
Igor Berenboym, Mireille Avigal
DISOPT
2007
93views more  DISOPT 2007»
15 years 6 months ago
A feasibility pump heuristic for general mixed-integer problems
Finding a feasible solution of a given Mixed-Integer Programming (MIP) model is a very important (NP-complete) problem that can be extremely hard in practice. Very recently, Fisch...
Livio Bertacco, Matteo Fischetti, Andrea Lodi