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KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 4 months ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
ICML
2007
IEEE
14 years 11 months ago
Simpler core vector machines with enclosing balls
The core vector machine (CVM) is a recent approach for scaling up kernel methods based on the notion of minimum enclosing ball (MEB). Though conceptually simple, an efficient impl...
András Kocsor, Ivor W. Tsang, James T. Kwok
ICALT
2009
IEEE
14 years 5 months ago
A Conceptual Framework for Serious Games
A considerable number of serious games have been developed over the last ten years, with varying degrees of success. Due to a lack of clear standards and guidelines for game devel...
Amri Yusoff, Richard M. Crowder, Lester Gilbert, G...
ALT
2006
Springer
14 years 2 months ago
Learning and Extending Sublanguages
A number of natural models for learning in the limit is introduced to deal with the situation when a learner is required to provide a grammar covering the input even if only a par...
Sanjay Jain, Efim B. Kinber
AAAI
2008
14 years 1 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small