Does cognitive science need kernels?
نویسندگان
چکیده
Kernel methods are among the most successful tools in machine learning and are used in challenging data analysis problems in many disciplines. Here we provide examples where kernel methods have proven to be powerful tools for analyzing behavioral data, especially for identifying features in categorization experiments. We also demonstrate that kernel methods relate to perceptrons and exemplar models of categorization. Hence, we argue that kernel methods have neural and psychological plausibility, and theoretical results concerning their behavior are therefore potentially relevant for human category learning. In particular, we believe kernel methods have the potential to provide explanations ranging from the implementational via the algorithmic to the computational level.
منابع مشابه
Face-ism and kernels of truth in facial inferences.
In a recent article in the Science & Society section of this journal [1], Olivola and colleagues delivered a powerful argument about fighting the phenomenon that they called ‘face-ism’. (i) Many important social decisions are made on the basis of people’s facial appearance. (ii) Social inferences based on facial appearance are inaccurate and unreliable. (iii) Therefore, we need to stop people f...
متن کاملProtein Analysis Meets Visual Word Recognition: A Case for String Kernels in the Brain
It has been recently argued that some machine learning techniques known as Kernel methods could be relevant for capturing cognitive and neural mechanisms (Jäkel, Schölkopf, & Wichmann, 2009). We point out that ''String kernels,'' initially designed for protein function prediction and spam detection, are virtually identical to one contending proposal for how the brain encodes orthographic inform...
متن کاملEvaluation of Shelf Life of Walnut Kernels Treated by Antioxidants and Different Packaging under Two Temperatures
In this study, the effects of coatings made of chitosan (Chi) incorporating thyme essential oil (TEO) on lipid oxidation and changing color indexes of walnut kernels were investigated. Chi: pure, in accompany with TEO at concentrations of 500 and 1000 microliter per liter, in an aqueous coating solution, with different packaging methods: Gunny sack, polypropylene and active packaging, compared ...
متن کاملEffects of Pre-germination Treatment on the Phytate and Phenolic Contents of Almond Nuts
This study examined if pre-germination altered the water content and water activity, contents of phytate, total phenolic, (±)-catechin, quercetin and total antioxidant capacity of almond (Prunus dulcis)kernel. Raw almond kernels were submerged for 15 hours in water, 0.02 mol dm-3 phosphate buffer solution (pH 5.0) and 0.02 mol dm-3 phosphate buffer solution (pH 7.0) at 25 and 40ºC, respectivel...
متن کاملInvestigating the effects of different kernels used for CT image reconstruction on dose distributions in treatment planning of kidney cancer radiotherapy
Introduction: The quality of CT images used for treatment planning of cancer patients is an important issue in accurate outlining of the tumor volume and organs at risk. Different kernels in CT scanner systems are available for improving the image quality. Applying these kernels on CT images will change the CT numbers and electron density of tissues, conse...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Trends in cognitive sciences
دوره 13 9 شماره
صفحات -
تاریخ انتشار 2009