Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all...

30
Instance-Based Learning

Transcript of Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all...

Page 1: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first

Instance-Based Learning

Page 2: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first

Preview

• K-nearest neighbor

• Other forms of IBL

• Collaborative filtering

Page 3: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 4: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 5: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 6: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 7: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 8: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 9: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 10: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 11: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 12: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 13: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 14: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 15: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 16: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 17: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 18: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 19: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 20: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 21: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 22: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 23: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 24: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 25: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 26: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 27: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 28: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 29: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first
Page 30: Instance-Based Learning - courses.cs.washington.eduInstance-Based Learning Key idea: Just store all training examples (cc', f (cc.)) Nearest neighbor: Given query instance c q, first

CS 478 - Machine Learning Instance Based Learning (Adapted from various sources)

CS 478 - Machine Learning Instance Based Learning (Adapted from various sources)

Instance-based learning and Numeric prediction

Instance-based learning and Numeric prediction

Learning Instance-Independent Value Functions to Enhance ...papers.nips.cc/paper/1573-learning-instance-independent-value... · We investigated the use of reinforcement learning (RL)

Learning Instance-Independent Value Functions to Enhance ...papers.nips.cc/paper/1573-learning-instance-independent-value... · We investigated the use of reinforcement learning (RL)

Statistical Learning in Multiple Instance Problems

Statistical Learning in Multiple Instance Problems

Instance-based Learning Algorithms

Instance-based Learning Algorithms

Learning Instance Specific Distance Using Metric Propagation

Learning Instance Specific Distance Using Metric Propagation

Online Multiple Instance Learning with No Regret

Online Multiple Instance Learning with No Regret

Visual Tracking with Online Multiple Instance Learning

Visual Tracking with Online Multiple Instance Learning

CpSc 881: Machine Learning Instance Based Learning.

CpSc 881: Machine Learning Instance Based Learning.

Multiple Instance Learning for Sparse Positive Bags

Multiple Instance Learning for Sparse Positive Bags

CpSc 810: Machine Learning Instance Based Learning.

CpSc 810: Machine Learning Instance Based Learning.

Weak Supervision and Multiple-Instance Learning

Weak Supervision and Multiple-Instance Learning

Instance-Based Learning Evgueni Smirnov. Overview Instance-Based Learning Comparison of Eager and Instance-Based…

Instance-Based Learning Evgueni Smirnov. Overview Instance-Based Learning Comparison of Eager and Instance-Based…

Exploiting kernel-based feature weighting and instance … · learning benchmark datasets. Key words: Transfer learning, unsupervised domain adaptation, feature weighting, instance

Exploiting kernel-based feature weighting and instance … · learning benchmark datasets. Key words: Transfer learning, unsupervised domain adaptation, feature weighting, instance

Advances in Instance-Based Learning Algorithmsalgorithms. It then describes previous research in instance-based learning, including It then describes previous research in instance-based

Advances in Instance-Based Learning Algorithmsalgorithms. It then describes previous research in instance-based learning, including It then describes previous research in instance-based

Multiple-Instance Active Learning - Burr Settles

Multiple-Instance Active Learning - Burr Settles

Multiple Instance Metric Learning from Automatically ...lear.inrialpes.fr/pubs/2010/GVS10a/GVS10a.pdf · Multiple Instance Metric Learning from Automatically Labeled Bags ... (Equation

Multiple Instance Metric Learning from Automatically ...lear.inrialpes.fr/pubs/2010/GVS10a/GVS10a.pdf · Multiple Instance Metric Learning from Automatically Labeled Bags ... (Equation

Multi-Instance Multi-Label Learning€¦ · . In traditional supervised learning: • A real-world object is represented by an instance (feature vector)

Multi-Instance Multi-Label Learning€¦ · . In traditional supervised learning: • A real-world object is represented by an instance (feature vector)

Multi-Instance Learning Based Web Mining

Multi-Instance Learning Based Web Mining

Instance-Based Learning

Instance-Based Learning