"

From 2011.igem.org

Revision as of 14:59, 24 June 2011 (view source) Christpa (Talk | contribs) (→Linear Classification) ← Older edit		Revision as of 14:59, 24 June 2011 (view source) Christpa (Talk | contribs) (→Linear Classification) Newer edit →
Line 37:		Line 37:
	=== Linear Classification ===		=== Linear Classification ===
-	:<math>c_n = \int_{-T/2}^{T/2} f(x)\ e^{-2\pi i(n/T) x} dx.\,</math>

---

Revision as of 14:59, 24 June 2011

---

Models are under construction -------Page

3 types of models: Systems of ODE, Bayesian hierarchy and linear classification problems (LDA or similar). To be continued....

Contents 1 Model Introduction 2 The Models 2.1 Systems of ODE 2.2 Bayesian Hierarchy 2.3 Linear Classification 2.3.1 Non-linear Classification 3 Model Validation 4 References

Model Introduction

-What to model

-How to model

The Models

Systems of ODE

Bayesian Hierarchy

We den wish to model the reliability for the observations... That is the probability of false positive/negative results <math> P(RTF = 1|stress) </math> and opposite. Having the observations x_i, i = 0,1,...,n, and y_j , j = 0,1,...,m,

were x_i is under condition C = 1 (stress) , and y_j is under condition C = 0 (no stress).

Linear Classification

Non-linear Classification

Model Validation

References

Home