Concordia University

About: Concordia University is a education organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Context (language use) & Control theory. The organization has 13565 authors who have published 31084 publications receiving 783525 citations. The organization is also known as: Sir George Williams University & Loyola College, Montreal.

Discovering essential code elements in informal documentation

Abstract: To access the knowledge contained in developer communication, such as forum posts, it is useful to determine automatically the code elements referred to in the discussions. We propose a novel traceability recovery approach to extract the code elements contained in various documents. As opposed to previous work, our approach does not require an index of code elements to find links, which makes it particularly well-suited for the analysis of informal documentation. When evaluated on 188 StackOverflow answer posts containing 993 code elements, the technique performs with average 0.92 precision and 0.90 recall. As a major refinement on traditional traceability approaches, we also propose to detect which of the code elements in a document are salient, or germane, to the topic of the post. To this end we developed a three-feature decision tree classifier that performs with a precision of 0.65-0.74 and recall of 0.30-0.65, depending on the subject of the document.

Dual isomonodromic deformations and moment maps to loop algebras

Abstract: The Hamiltonian structure of the monodromy preserving deformation equations of Jimboet al [JMMS] is explained in terms of parameter dependent pairs of moment maps from a symplectic vector space to the dual spaces of two different loop algebras. The nonautonomous Hamiltonian systems generating the deformations are obtained by pulling back spectral invariants on Poisson subspaces consisting of elements that are rational in the loop parameter and identifying the deformation parameters with those determining the moment maps. This construction is shown to lead to “dual” pairs of matrix differential operators whose monodromy is preserved under the same family of deformations. As illustrative examples, involving discrete and continuous reductions, a higher rank generalization of the Hamiltonian equations governing the correlation functions for an impenetrable Bose gas is obtained, as well as dual pairs of isomonodromy representations for the equations of the Painleve transcendentsPV andVI.

High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length

Abstract: We consider the problem of determining the structure of high-dimensional data without prior knowledge of the number of clusters. Data are represented by a finite mixture model based on the generalized Dirichlet distribution. The generalized Dirichlet distribution has a more general covariance structure than the Dirichlet distribution and offers high flexibility and ease of use for the approximation of both symmetric and asymmetric distributions. This makes the generalized Dirichlet distribution more practical and useful. An important problem in mixture modeling is the determination of the number of clusters. Indeed, a mixture with too many or too few components may not be appropriate to approximate the true model. Here, we consider the application of the minimum message length (MML) principle to determine the number of clusters. The MML is derived so as to choose the number of clusters in the mixture model that best describes the data. A comparison with other selection criteria is performed. The validation involves synthetic data, real data clustering, and two interesting real applications: classification of Web pages, and texture database summarization for efficient retrieval.

Retrograde and anterograde object recognition in rats with hippocampal lesions

Abstract: Retrograde and anterograde object-recognition memory was assessed in rats with cytotoxic lesions of the hippocampal formation (HPC), using a paradigm based on the natural tendency of rats to spend more time exploring novel objects than familiar objects. The rats were allowed to explore a sample object for 5 min/day on 5 consecutive days, either 5 weeks or 1 week before surgery. After surgery, retrograde rec- ognition was assessed by comparing the amount of time spent exploring the sample versus a novel object in a free-choice situation. Control rats spent more time exploring the novel object than the sample objects from both presurgery time periods, whereas rats with HPC lesions did not discriminate between the novel objects and sample objects from either presurgery time period. Despite their deficits on the retrograde recogni- tion test, the rats with HPC lesions performed like control rats on antero- grade recognition tests, displaying a strong exploratory preference for novel objects over sample objects, with retention delays of either 15 min or 24 h. The findings suggest that extrahippocampal circuitry is capable of supporting object recognition, but only if the HPC does not participate in encoding the original encounter with the object. © 2003 Wiley-Liss, Inc.