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ECML
2006
Springer
15 years 10 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi
GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
15 years 10 months ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen
SBIA
2000
Springer
15 years 10 months ago
User profiling with Case-Based Reasoning and Bayesian Networks
Agent technology provides many services to users. The tasks in which agents are involved include information filtering, information retrieval, user's tasks automation, browsin...
Silvia N. Schiaffino, Analía Amandi
FLAIRS
2010
15 years 9 months ago
Gamed-Based iSTART Practice: From MiBoard to Self-Explanation Showdown
MiBoard (Multiplayer Interactive Board Game) is an online, turnbased board game that was developed to assess the integration of game characteristics (point rewards, game-like inte...
Justin F. Brunelle
ASSETS
2005
ACM
15 years 8 months ago
Online focus groups used as an accessible participatory research method
Participatory research methods are being used internationally to gather data on complex social, cultural, and political concerns that effect the use of technology [4]. Researchers...
Ted L. Wattenberg