Category effects on stimulus estimation: Shifting and skewed frequency distributions—A reexamination
نویسندگان
چکیده
منابع مشابه
A reexamination of stimulus-frequency effects in recognition: two mirrors for low- and high-frequency pseudowords.
The word-frequency mirror effect (more hits and fewer false alarms for low-frequency than for high-frequency words) has intrigued memory researchers, and multiple accounts have been offered to explain the result. In this study, participants were differentially familiarized to various pseudowords in a familiarization phase that spanned multiple weeks. Recognition tests given during the first wee...
متن کاملEffects of Contrasting Category, Conjoint Frequency and Typicality on Categorization
Two experiments were conducted to investigate whether (a) experience with a contrasting category, (b) conjoint frequency of dimensional values, (c) range of typicality of values, and (d) type of information administered during learning influenced subsequent test performance. Each experiment began with an observational category learning task, employing faces as stimuli. This was followed by a cl...
متن کاملFeedback and stimulus-offset timing effects in perceptual category learning.
We examined how feedback delay and stimulus offset timing affected declarative, rule-based and procedural, information-integration category-learning. We predicted that small feedback delays of several hundred milliseconds would lead to the best information-integration learning based on a highly regarded neurobiological model of learning in the striatum. In Experiment 1 information-integration l...
متن کاملCategory-effects and stimulus characteristics in visual perception
......................................................................................... 6 INDRODUCTION ................................................................................. 7 Category effects in object identification – Deficits after brain damage .............. 8 Category effects in object identification – The 'normal' living-things advantage ... 11 Visual characteristics of stimu...
متن کاملRobust Learning with Highly Skewed Category Distributions
Highly skewed category distributions are abundant in many real-world tasks in data mining, such as medical diagnosis (rare diseases), text categorization (rare topics), and fraud detection (when most transactions are legitimate). Under extreme class skew, most supervised learning algorithms tend to minimize loss by labeling every instance with the majority class(es), leading to poor recall on t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Psychonomic Bulletin & Review
سال: 2017
ISSN: 1069-9384,1531-5320
DOI: 10.3758/s13423-017-1392-7