The following pages link to User:Mboutin:
View (previous 50 | next 50) (20 | 50 | 100 | 250 | 500)- CCode (← links)
- Issues with Rhea (← links)
- Research Laboratory Prof Boutin (← links)
- A fellowship for undergraduate students in sciences 2009 (← links)
- Talk:Exam jokes from last semester's 453 class after they failed their first exam... (← links)
- HW 3 Question 1 (← links)
- Talk:HW 3 Question 1 (← links)
- HW 3 Question 4 mlo (← links)
- Office Hours Poll (BoutinSpring2009) (← links)
- Getting X(w) from X(f) (← links)
- Exam 1 Student Review (← links)
- What you want to know for Exam 1 (← links)
- Talk:Getting X(w) from X(f) (← links)
- Questions for Mimi (ECE438BoutinSpring2009) (← links)
- Ideas for students (← links)
- Exam2 Poll(BoutinSpring2009) (← links)
- Plus or minus discussion (← links)
- Discussion about the availability of hw solutions online (← links)
- Question 7.1 (← links)
- User talk:Hhuang (← links)
- Question 8.2 (← links)
- Question 8.1 (← links)
- Online Evaluations (← links)
- Course evaluation (ECE438BoutinSpring2009) (← links)
- Talk:Reading guide (ECE438BoutinSpring2009) (← links)
- Talk:Community Portal (← links)
- ECE662:BoutinSpring08 Old Kiwi (← links)
- Lecture 17 - Nearest Neighbors Clarification Rule and Metrics Old Kiwi (← links)
- Lecture 1 - Introduction Old Kiwi (← links)
- Lecture 2 - Decision Hypersurfaces Old Kiwi (← links)
- Lecture 3 - Bayes classification Old Kiwi (← links)
- Lecture 5 - Discriminant Functions Old Kiwi (← links)
- Lecture 6 - Discriminant Functions Old Kiwi (← links)
- Lecture 7 - MLE and BPE Old Kiwi (← links)
- Lecture 8 - MLE, BPE and Linear Discriminant Functions Old Kiwi (← links)
- Lecture 9 - Linear Discriminant Functions Old Kiwi (← links)
- Lecture 10 - Batch Perceptron and Fisher Linear Discriminant Old Kiwi (← links)
- Lecture 11 - Fischer's Linear Discriminant again Old Kiwi (← links)
- Lecture 12 - Support Vector Machine and Quadratic Optimization Problem Old Kiwi (← links)
- Lecture 13 - Kernel function for SVMs and ANNs introduction Old Kiwi (← links)
- Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window) Old Kiwi (← links)
- Lecture 15 - Parzen Window Method Old Kiwi (← links)
- Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate Old Kiwi (← links)
- Lecture 18 - Nearest Neighbors Clarification Rule and Metrics(Continued) Old Kiwi (← links)
- Lecture 4 - Bayes Classification Old Kiwi (← links)
- Lecture 19 - Nearest Neighbor Error Rates Old Kiwi (← links)
- Lecture 20 - Density Estimation using Series Expansion and Decision Trees Old Kiwi (← links)
- Lecture 21 - Decision Trees(Continued) Old Kiwi (← links)
- Lecture 22 - Decision Trees and Clustering Old Kiwi (← links)
- Lecture 23 - Spanning Trees Old Kiwi (← links)