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- 1. CS 446: Machine Learning Gerald DeJong [email_address] 3-0491 3320 SC Recent approval for a TA to be named later
- 8. Example and Hypothesis Spaces X H X: Example Space – set of all well-formed inputs [w/a distribution] H: Hypothesis Space – set of all well-formed outputs - - + + + - - - +
- 10. y = f (x 1 , x 2 , x 3 , x 4 ) Unknown function x 1 x 2 x 3 x 4 A Learning Problem X H ? ? (Boolean: x1, x2, x3, x4, f )
- 11. y = f (x 1 , x 2 , x 3 , x 4 ) Unknown function x 1 x 2 x 3 x 4 Training Set Example x 1 x 2 x 3 x 4 y 1 0 0 1 0 0 3 0 0 1 1 1 4 1 0 0 1 1 5 0 1 1 0 0 6 1 1 0 0 0 7 0 1 0 1 0 2 0 1 0 0 0
- 46. Computational Issues Assume the data is linearly separable. Sample complexity: Suppose we want to ensure that our LTU has an error rate (on new examples) of less than with high probability(at least (1- )) How large must m (the number of examples) be in order to achieve this? It can be shown that for n dimensional problems m = O(1/ [ln(1/ ) + (n+1) ln(1/ ) ]. Computational complexity: What can be said? It can be shown that there exists a polynomial time algorithm for finding consistent LTU (by reduction from linear programming). (On-line algorithms have inverse quadratic dependence on the margin)
- 48. Summary of LMS algorithms for LTUs Local search: Begins with initial weight vector. Modifies iteratively to minimize and error function. The error function is loosely related to the goal of minimizing the number of classification errors. Memory: The classifier is constructed from the training examples. The examples can then be discarded. Online or Batch: Both online and batch variants of the algorithms can be used.
Notes de l'éditeur
- As we said, this is the game we are playing; in NLP, it has always been clear, that the raw information In a sentence is not sufficient, as is to represent a good predictor. Better functions of the input were Generated, and learning was done in these terms.
- As we said, this is the game we are playing; in NLP, it has always been clear, that the raw information In a sentence is not sufficient, as is to represent a good predictor. Better functions of the input were Generated, and learning was done in these terms.
- As we said, this is the game we are playing; in NLP, it has always been clear, that the raw information In a sentence is not sufficient, as is to represent a good predictor. Better functions of the input were Generated, and learning was done in these terms.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- As we said, this is the game we are playing; in NLP, it has always been clear, that the raw information In a sentence is not sufficient, as is to represent a good predictor. Better functions of the input were Generated, and learning was done in these terms.
- As we said, this is the game we are playing; in NLP, it has always been clear, that the raw information In a sentence is not sufficient, as is to represent a good predictor. Better functions of the input were Generated, and learning was done in these terms.
- As we said, this is the game we are playing; in NLP, it has always been clear, that the raw information In a sentence is not sufficient, as is to represent a good predictor. Better functions of the input were Generated, and learning was done in these terms.
- As we said, this is the game we are playing; in NLP, it has always been clear, that the raw information In a sentence is not sufficient, as is to represent a good predictor. Better functions of the input were Generated, and learning was done in these terms.
- As we said, this is the game we are playing; in NLP, it has always been clear, that the raw information In a sentence is not sufficient, as is to represent a good predictor. Better functions of the input were Generated, and learning was done in these terms.
- As we said, this is the game we are playing; in NLP, it has always been clear, that the raw information In a sentence is not sufficient, as is to represent a good predictor. Better functions of the input were Generated, and learning was done in these terms.
- As we said, this is the game we are playing; in NLP, it has always been clear, that the raw information In a sentence is not sufficient, as is to represent a good predictor. Better functions of the input were Generated, and learning was done in these terms.
- Good treatment in Bishop, Chp 3 Classic Weiner filtering solution; text omits 0.5 factor; In any case we use the gradient and eta (text) or R (these notes) to modulate the step size
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.
- Badges game Don’t give me the answer Start thinking about how to write a program that will figure out whether my name has + or – next to it.