This paper presents a general platform, namely synchronous tree sequence substitution grammar (STSSG), for the grammar comparison study in Translational Equivalence Modeling (TEM)...
Min Zhang, Hongfei Jiang, Haizhou Li, AiTi Aw, She...
Semantic information helps in identifying the context of a document. It will be interesting to find out how effectively this information can be used in recommending related docume...
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
Human categorization research is dominated by work in classification learning. The field may be in danger of equating the classification learning paradigm with the more general ph...
Bradley C. Love, Arthur B. Markman, Takashi Yamauc...