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Four critical responses to an article, "The Role of Phonology and Phonologically Related Skills in Reading Instruction for Students Who Are Deaf or Hard of Hearing" (Wang, Trezek, Luckner, & Paul, 2008), are presented. Issue is taken with the conclusions of the article by Wang and colleagues regarding the "necessary" condition of phonological awareness for(More)
The study reports on a set of questions added to the 1997-98 Annual Survey of Deaf and Hard of Hearing Children and Youth designed to take into consideration the functioning of children in their classroom in nine functional areas. Basing information on 30,198 students, the study describes prevalence rates of reported limitations in these functional areas(More)
This article investigated to what extent age, use of a cochlear implant, parental hearing status, and use of sign in the home determine language of instruction for profoundly deaf children. Categorical data from 8,325 profoundly deaf students from the 2008 Annual Survey of Deaf and Hard-of-Hearing Children and Youth were analyzed using chi-square automated(More)
Studies have shown that American Sign Language (ASL) fluency has a positive impact on deaf individuals' English reading, but the cognitive and cross-linguistic mechanisms permitting the mapping of a visual-manual language onto a sound-based language have yet to be elucidated. Fingerspelling, which represents English orthography with 26 distinct hand(More)
We present an online, heuristic algorithm for learning Conditional Preference networks (CP-nets) from user queries. This is the first efficient and resolute CP-net learning algorithm: if a preference order can be represented as a CP-net, our algorithm learns a CP-net in time n p , where p is a bound on the number of parents a node may have. The learned(More)
Preferences have been studied in philosophy, economics, psychology, and computer science and have a wide range of applications, such as e-commerce, recommender systems, decision support systems, and control of automated systems. A variety of methods have been proposed for modeling preferences. The one that I consider here is that of conditional preference(More)
We introduce a method for generating CP-nets uniformly at random. As CP-nets encode a subset of partial orders, ensuring that we generate samples uniformly at random is not a trivial task. We present algorithms for counting CP-nets, ranking and computing the rank of an arbitrary CP-net for a given number of nodes, and generating a CP-net given its rank. We(More)
Conditional preference networks (CP-nets) offer a potentially compact representation of qualitative preferences. Much of the research on CP-nets limits attention to strict preferences over binary variables. We extend the work of previous researchers to allow modeling preferences over multi-valued variables over some of which the preference holder may be(More)