Latent Semantic Analyis (LSA) consists in the use of SVD-based dimensionality-reduction to reduce the high dimensionality of vector representations of documents, where the dimensions of the vectors correspond simply to word counts in the documents. We show that that there are two contending, inequivalent, formulations of LSA. The distinction between the two is not generally noted and while some...

Manifest latent nystagmus (MLN) was identified in 31 patients by accurate eye movement records. All the patients had horizontal tropias, and the nystagmus fast phases were always in the direction of viewing eye. The slow phases of MLN are decreasing-velocity exponentials while those of the jerk form of congenital nystagmus (CN) are increasing velocity exponentials. Several subjects who were bel...

Latent Semantic Analysis (LSA) is a statistical, corpus-based text comparison mechanism that was originally developed for the task of information retrieval, but in recent years has produced remarkably human-like abilities in a variety of language tasks. LSA has taken the Test of English as a Foreign Language and performed as well as non-native English speakers who were successful college applic...

Geared towards capturing change, longitudinal research is able to provide insight into a variety of phenomena of interest to IS researchers, especially IT adoption and use. However, its potential is constrained by the data analysis methods typically used. In this paper, I introduce an advanced technique – Latent Curve Modeling – and demonstrate how this technique supports longitudinal data anal...

In the research of public health, psychology, and social sciences, many research questions investigate the relationship between a categorical outcome variable and continuous predictor variables. The focus of this paper is to develop a model to build this relationship when both the categorical outcome and the predictor variables are latent (i.e. not observable directly). This model extends the l...

An out-patient note-book may be made valuable when there is time and efficient assistance to record cases; but single-handed, and with a large number of patients, this is not always possible. Nevertheless, I venture to hope that the following imperfect notes, pf two or three cases out of many, may be useful in drawing attention to one of the minor ailments of life, under cover of which there ma...

We consider a multi-armed bandit problem where the reward distributions are indexed by two sets –one for arms, one for type– and can be partitioned into a small number of clusters according to the type. First, we consider the setting where all reward distributions are known and all types have the same underlying cluster, the type’s identity is, however, unknown. Second, we study the case where ...

We present a method that can evaluate a RANSAC hypothesis in constant time, i.e. independent of the size of the data. A key observation here is that correct hypotheses are tightly clustered together in the latent parameter domain. In a manner similar to the generalized Hough transform we seek to find this cluster, only that we need as few as two votes for a successful detection. Rapidly locatin...