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AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
14 years 4 months ago
Predictive Model of Insolvency Risk for Australian Corporations
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
Rohan A. Baxter, Mark Gawler, Russell Ang
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 4 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
HYBRID
2007
Springer
14 years 4 months ago
Symbolic Analysis for GSMP Models with One Stateful Clock
We consider the problem of verifying reachability properties of stochastic real-time systems modeled as generalized semi-Markov processes (GSMPs). The standard simulation-based tec...
Mikhail Bernadsky, Rajeev Alur
ACCV
2006
Springer
14 years 4 months ago
Statistical Shape Models Using Elastic-String Representations
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
Anuj Srivastava, Aastha Jain, Shantanu H. Joshi, D...
ACG
2006
Springer
14 years 4 months ago
RSPSA: Enhanced Parameter Optimization in Games
Most game programs have a large number of parameters that are crucial for their performance. Tuning these parameters by hand is rather difficult. Therefore automatic optimization a...
Levente Kocsis, Csaba Szepesvári, Mark H. M...