TY - GEN
T1 - The landscape contest at ICPR 2010
AU - Macià, Núria
AU - Ho, Tin Kam
AU - Orriols-Puig, Albert
AU - Bernadó-Mansilla, Ester
PY - 2010
Y1 - 2010
N2 - The landscape contest provides a new and configurable framework to evaluate the robustness of supervised classification techniques and detect their limitations. By means of an evolutionary multiobjective optimization approach, artificial data sets are generated to cover reachable regions in different dimensions of data complexity space. Systematic comparison of a diverse set of classifiers highlights their merits as a function of data complexity. Detailed analysis of their comparative behavior in different regions of the space gives guidance to potential improvements of their performance. In this paper we describe the process of data generation and discuss performances of several well-known classifiers as well as the contestants' classifiers over the obtained data sets.
AB - The landscape contest provides a new and configurable framework to evaluate the robustness of supervised classification techniques and detect their limitations. By means of an evolutionary multiobjective optimization approach, artificial data sets are generated to cover reachable regions in different dimensions of data complexity space. Systematic comparison of a diverse set of classifiers highlights their merits as a function of data complexity. Detailed analysis of their comparative behavior in different regions of the space gives guidance to potential improvements of their performance. In this paper we describe the process of data generation and discuss performances of several well-known classifiers as well as the contestants' classifiers over the obtained data sets.
UR - http://www.scopus.com/inward/record.url?scp=78650802935&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-17711-8_4
DO - 10.1007/978-3-642-17711-8_4
M3 - Conference contribution
AN - SCOPUS:78650802935
SN - 3642177107
SN - 9783642177101
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 29
EP - 45
BT - Recognizing Patterns in Signals, Speech, Images, and Videos - ICPR 2010 Contests, Contest Reports
T2 - 20th International Conference on Pattern Recognition, ICPR 2010
Y2 - 23 August 2010 through 26 August 2010
ER -