2015 春季系列演講 SPRING 2015 Lecture Series

國立陽明大學心智哲學研究所 一零四學年度(2015)碩士班招生考試 初試合格名單及複試注意事項

 心智哲學研究所 一零四學年度(2015)碩士班招生考試 初試合格名單及複試注意事項。

 
複試地點：心智哲學所會議室 
複試日期：2015/03/22(日)　　 
報到地點：人社院中庭 (第二教學大樓2F 校園地圖 http://www.ym.edu.tw/map.html Y6 )

各梯次報到時間
第一梯次：09:45~10:00 
320001　江聖照　　 320002　朱喬茵　　 320003　顏紹先　　 320004　陳宇貞
第二梯次：11:00~11:15 
320005　吳心萍　　 320006　陳慧如　　 320007　施伯靜　　 320009　蔣德萱
第三梯次：12:45~13:00 
320010　李宜潔　　 320012　忻之庭　　 320013　劉士豪　　 320014　蔡坦岩
第四梯次：14:15~14:30 
320016　郭心屏　　 320017　翁晉翼　　 320019　陳聆    　　 320022　張顥瀚

注意事項
1.符合複試資格考生請自行上網列印複試通知，並依規定準時報到應試。 
2.請依照簡章規定，於複試舉行前二日(3/19)，將「口試資料表」電子檔寄至 phil@ym.edu.tw ，遲交將酌予扣分。
3.報到時，請務必攜帶複試通知函及身分證件，逾該階段報到時間30分鐘以上者，視同放棄複試資格，不得報到及應試。
4.複試當天適逢假日本校校車停駛，請各考生自行安排交通工具前往試場。

碩士畢業論文口試訊息

學生姓名：龎皓
時間：2015年1月30日（星期五）中午12:00
地點：本所會議室(第二教學大樓2樓人社211)
論文題目：「什麼是客觀感知世界的條件?」

陽明輔大聯合哲學工作坊

【陽明輔大聯合哲學工作坊】

時間：2015/01/16 (五) 09:30-16:30地點：陽明大學第二教學大樓242教室

Dr. Guillaume Rochefort-Maranda will come to our institute and give a talk.

Theme:"Simplicity
Matters?
 The
Case 
of 
Non-­parametric
Models"

Date & Time: Thursday, 7 Jan., 1:30-3:30 p.m.

Venue: Meeting Room, Institute of Philosophy of mind and cognition, NYMU

About the theme

In this presentation, I claim that influential arguments concerning the importance of parametric simplicity for model selection have been biased by their focus on parametric models. See (Foster & Sober 1994) (Foster 2001) (Sober & Hitchcock 2004). Such a focus leads us to believe that there is a fundamental trade‐off between parametric simplicity and goodness of fit. But no such trade‐off is considered when we select non‐parametric models, like KNN1 regression models. We can increase the fit of KNN models by keeping the number of adjustable parameters to 1.

This leads me to point out that the important trade‐off that is made as we select any kind of model is between the bias and the variance of an estimator for a dependent variable. Consequently, I explain why a favored selection criterion for the proponents of parametric simplicity, i.e., the AIC (Akaike Information Criterion) is not optimal (in any scenario) in order to tell if we have made a reasonable bias/variance trade‐off. A selection criterion based on crossvalidation is more appropriate.

Key References

Forster, M. (2001), “The New Science of Simplicity”, (In A. Zellner, H.

Keuzenkamp, and M. McAleer (Eds.), Simplicity, Inference and Modelling. (pp. 83‐

119). Cambridge: Cambridge University Press)

Forster M. and Sober, E. (1994), “How to Tell When Simpler, More Unified, or

Less Ad Hoc Theories will Provide More Accurate Predictions”, The British

Journal for the Philosophy of Science, 45: 1 ‐ 35.

Hitchcock, C. and Sober, E. (2004) “Prediction Versus Accommodation and the

Risk of Overfitting”, The British Journal for the Philosophy of Science, 55: 1‐34

1 KNN

About the speaker

Guillaume Rochefort-Maranda, Laval University, Québec, Canada

AREAS OF SPECIALISATION

Philosophy of Science

Epistemology

Philosophy of Statistics and Probability

AREAS OF COMPETENCE

Philosophy of Mind

Philosophy of Language

Philosophical Logic

Metaphysics

Applied Ethics

Big Data Studies