03/12/13 Trees and CFGs Discrete Structures (CS 173) Derek Hoiem, University of Illinois 1.

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03/12/13 Trees and CFGs Discrete Structures (CS 173) Derek Hoiem, University of Illinois 1

Last class: recursive functions 2

Today’s lecture: Trees and CFGs Trees – Examples of uses – Terminology – Induction on trees Context free grammars (CFGs) – What they are, how they work – Induction on CFG 3

Tree: special form of graph with “root” and no cycles 4 root

Tree terminology Nodes: root, internal, leaf, level, tree height Relations: parent/child/sibling, ancestor/descendant 5 overhead

Another example root

Another example root

Trees for sorting 8 > < > <

Decision trees 9

Hierarchical data structure 10

Trees for clustering 11 b>5 x x x x x x x x x x x 1 23 a b 5 6 a>6 1 yes no yes 2 3

More terminology 12 overhead

Induction proof on trees 13 overhead

Context-free Grammars 14 overhead

CFG Example 15 overhead

Examples of parse trees 16 Language Fig: Johnson 2007

Examples of parse trees 17 Figs: Zhu and Mumford 2007 Scene parse Object Parse

Examples of parse trees 18 Stochastic CFG for blackjack actions

Induction proof on CFG 19 overhead

CFG example 20 * I like to eat apples and bananas overhead

Things to remember Trees are a special graph with root and no cycles, with many uses – Sorting, clustering, finding similar values – Decision tree: machine learning, modeling choices – Parse trees: representing hierarchical structures Context free grammars: generate parse trees Proofs on trees: split at root, use inductive hypothesis on subtrees headed by the root’s children 21

Next class: more trees Recursion trees and more proofs with trees 22