2Memory-Based Learning: Using Similarity for Smoothingoutput is then determined by extrapolation from the k nearest neighbors, i.e. the output is chosen that has the highest relative...
3A Kernel PCA Method for Superior Word Sense Disambiguationoccurrences of “art” can be transformed to a binary vector representation containing one dimension for each feature, as shown...KPCA model and classify the resultant vectors using nearest neighbors. For a given test instance vector x, its lth nonlinear...
4Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semanticsparticular, we use the similarity of a vector to its nearest neighbors (NNs) as a proxy measure of quality. The underlying...mapping from and onto word vectors, without requiring a vector representation of bound affixes. The reason at the base of its good...