Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
Geometric crossover is a representation-independent generalization of the traditional crossover defined using the distance of the solution space. By choosing a distance firmly r...
Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon, Byun...
Evolutionary algorithms rarely deal with ontogenetic, non-inherited alteration of genetic information because they are based on a direct genotype-phenotype mapping. In contrast, i...
Chien-Feng Huang, Jasleen Kaur, Ana Gabriela Magui...
Question Answering (QA) is a task that deserves more collaboration between Natural Language Processing (NLP) and Knowledge Representation (KR) communities, not only to introduce r...