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Class Notes for E E 529
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UW
E E 529 Lecture 20: Short Term Executions
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12
UW
E E 529 Lecture 21: Priority Inheritence
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17
UW
E E 529 Lecture 14: Supervised Learning
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17
UW
E E 529 Lecture 15: Building Databases
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14
UW
E E 529 Lecture 16: Classifying Data
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15
UW
E E 529 Lecture Notes - Lecture 13: California State Route 1
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19
UW
E E 529 Lecture Notes - Lecture 12: Coone
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UW
E E 529 Lecture 11: Hidden Layers
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UW
E E 529 Lecture 8: L1 Regulizer
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14
UW
E E 529 Lecture 7: L2 Regularizer
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13
UW
E E 529 Lecture 9: Personalization
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13
UW
E E 529 Lecture 10: Occurrence Matrix
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15
UW
E E 529 Lecture 6: Model Selection
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11
UW
E E 529 Lecture Notes - Lecture 5: The The
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15
UW
E E 529 Lecture 3: Max Likelihood Estimator Classifier
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11
UW
E E 529 Lecture 2: KN Operators
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6
UW
E E 529 Lecture 1: Region of Operation Characteristics
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9
UW
E E 529 Lecture 4: Multi-Class Classification
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10
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