Research Summary - McGill University
... of knowledge can be essential to an autonomous agent for efficient decision making. Predictive State Representation, PSR, has been developed to provide a maintainable, self-verifiable and learnable representation of the knowledge of the world. I was very much intrigued by the PSR work, and started w ...
... of knowledge can be essential to an autonomous agent for efficient decision making. Predictive State Representation, PSR, has been developed to provide a maintainable, self-verifiable and learnable representation of the knowledge of the world. I was very much intrigued by the PSR work, and started w ...
Luby`s Algorithm
... A maximal Indipendent Set (MIS) in an undirected graph is a maximal collection of vertices I, subject to the restriction that no pair of vertices in I are adjacent. The MIS problem is to find a MIS. ...
... A maximal Indipendent Set (MIS) in an undirected graph is a maximal collection of vertices I, subject to the restriction that no pair of vertices in I are adjacent. The MIS problem is to find a MIS. ...
Languages and Compiler
... • A particular nonterminal, the goal symbol S, represents exactly all the strings in the language. • The goal symbol is also often called the start symbol because we start with it. • The set of terminal and set of nonterminals, taken together, is called vocabulary of the grammar. Winter 2007 ...
... • A particular nonterminal, the goal symbol S, represents exactly all the strings in the language. • The goal symbol is also often called the start symbol because we start with it. • The set of terminal and set of nonterminals, taken together, is called vocabulary of the grammar. Winter 2007 ...
Week 3 lectures
... Construct a weighted graph whose nodes are the diagonal runs, and there a directed edge from node v to node u if the row and column indices of u and v do not intersect. The weights of the nodes are their respective scores from the previous step. An edge gets a negative score depending on number of s ...
... Construct a weighted graph whose nodes are the diagonal runs, and there a directed edge from node v to node u if the row and column indices of u and v do not intersect. The weights of the nodes are their respective scores from the previous step. An edge gets a negative score depending on number of s ...
Part-of-Speech Tagging with Hidden Markov Models
... Parts-of-speech (also known as POS, word classes, morphological classes, lexical tags) are used to describe collections of words that serve a similar purpose in language. All parts-of-speech fall into one of two categories: open- and closed-class. Open-class parts-of-speech are continually changing, ...
... Parts-of-speech (also known as POS, word classes, morphological classes, lexical tags) are used to describe collections of words that serve a similar purpose in language. All parts-of-speech fall into one of two categories: open- and closed-class. Open-class parts-of-speech are continually changing, ...
Laws of Probability
... Conditional Probability While giving the basic rules governing probability, we have said nothing about how to assign probabilities other than to say that any such assignment should be consistent with the laws of probability! In practice, we assign probabilities based on information about events that ...
... Conditional Probability While giving the basic rules governing probability, we have said nothing about how to assign probabilities other than to say that any such assignment should be consistent with the laws of probability! In practice, we assign probabilities based on information about events that ...
Lecture 2: Phrase Structure
... mathematics and this enables us to investigate the relationships between different grammatical systems in a rigorous mathematical way. This is not to say that this is the way that all linguistic investigation has to go, but merely that a new door is opened for investigation which was previously unkn ...
... mathematics and this enables us to investigate the relationships between different grammatical systems in a rigorous mathematical way. This is not to say that this is the way that all linguistic investigation has to go, but merely that a new door is opened for investigation which was previously unkn ...
Algorithms Design and Analysis Ch1: Analysis Basics
... It reflects how the algorithm responds to the increase in data size (n) it handles, by measuring the corresponding increase in number of instructions to be performed. Time complexity is meant to classify algorithms into categories. ...
... It reflects how the algorithm responds to the increase in data size (n) it handles, by measuring the corresponding increase in number of instructions to be performed. Time complexity is meant to classify algorithms into categories. ...
PowerPoint
... • When outcomes are equally likely, probabilities for events are easy to find just by counting. {Classical Method} • When the k possible outcomes are equally likely, each has a probability of 1/k. • For any event A that is made up of equally countof outcomes in A . likely outcomes, P A countof al ...
... • When outcomes are equally likely, probabilities for events are easy to find just by counting. {Classical Method} • When the k possible outcomes are equally likely, each has a probability of 1/k. • For any event A that is made up of equally countof outcomes in A . likely outcomes, P A countof al ...
Homework 1 - UC Davis Statistics
... 2. Some local researchers attribute the rampant bad breadth on the UCD campus to a new brand of processed garlic being used at all campus dining establishments. It is known that 25% of the campus population has bad breadth, 10% chew tobacco and 5% have both characteristics. If a campus citizen is ch ...
... 2. Some local researchers attribute the rampant bad breadth on the UCD campus to a new brand of processed garlic being used at all campus dining establishments. It is known that 25% of the campus population has bad breadth, 10% chew tobacco and 5% have both characteristics. If a campus citizen is ch ...
Towards a rationalist theory of language acquisition
... builds a context set F up to some size bound f , using strings to determine which rules will be in the language. All the learning algorithms in the papers cited in this section are similarly simple. Algorithms of this kind can also be extended to MCFGs (Yoshinaka, 2010). Instead of strings in Σ∗ and ...
... builds a context set F up to some size bound f , using strings to determine which rules will be in the language. All the learning algorithms in the papers cited in this section are similarly simple. Algorithms of this kind can also be extended to MCFGs (Yoshinaka, 2010). Instead of strings in Σ∗ and ...