explains situations where students in varied, challenging circumstances find ways to negotiate difficult conditions. It reports on a 2007 study undertaken through a survey at three quite different universities in three South African provinces, addressing inter-related questions on access and use

the expressive dependency structure can influence, or even dictate, what assign-ments are possible. This paper surveys Constrained Conditional Models (CCMs), a framework that aug-ments probabilistic models with declarative constraints as a way to support decisions in an expressive output space while maintaining

Information Extraction methods can be used to automatically "fill-in" database forms from unstructured data such as Web documents or email. State-of-the-art methods have achieved low error rates but invariably make a number of errors. The goal of an interactive information extraction system is to assist the user in filling in database fields while giving the user confidence in the integrity of the data. The user is presented with an interactive interface that allows both the rapid verification of automatic field assignments and the correction of errors. In cases where there are multiple errors, our system takes into account user corrections, and immediately propagates these constraints such that other fields are often corrected automatically.

surfaces are found by solving a linearly constrained quadratic programming problem. This optimization problem is challenging because the quadratic form is completely dense and the memory requirements grow with the square of the number of data points. We present a decomposition algorithm that guarantees

Many problems in signal processing and statistical inference involve finding sparse solutions to under-determined, or ill-conditioned, linear systems of equations. A standard approach consists in minimizing an objective function which includes a quadratic (squared ℓ2) error term combined with a

in constraining conditions',ALT-J,17:2,75 — 88 To link to this Article: DOI: 10.1080/09687760903033058

This paper deals with an experimental methodology of the large deformation of cylinders

Moving beyond the general question of effectiveness of small group learning, this conceptual review proposes conditions under which the use of small groups in classrooms can be productive. Included in the review is recent research that manipulates various features of cooperative learning as well

) as in summarization, textual entailment and question answering. In all these cases, it is natural to formulate the decision problem as a constrained optimization problem, with an objective function that is composed of learned models, subject to domain or problem specific constraints. Constrained Conditional Models

ABSTRACT Two different approaches were used to study the kinetics of the enzymatic reaction under heterogeneous conditions to interpret the unusual nonlinear pharmacokinetics of mibefradil. Firstly, a detailed model based on the kinetic differential equations is proposed to study the enzymatic