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Finding Similar Items I
Finding Similar Items I

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The start of a script for the course

Discrete Math in Computer Science
Discrete Math in Computer Science

Isomorphism and Embedding Problems for Infinite Limits of Scale-Free Graphs.
Isomorphism and Embedding Problems for Infinite Limits of Scale-Free Graphs.

Stochastic dominance-constrained Markov decision processes
Stochastic dominance-constrained Markov decision processes

Distinguishing Hidden Markov Chains
Distinguishing Hidden Markov Chains

... that s0 and s1 output the same observation a in the example). This motivates the term hidden. HMCs are widely employed in fields such as speech recognition (see [21] for a tutorial), gesture recognition [6], musical score following [22], signal processing [9], and climate modeling [1]. HMCs are heav ...
AUSI expected utility: An anticipated utility theory of relative
AUSI expected utility: An anticipated utility theory of relative

Conditionals predictions
Conditionals predictions

... be believed about it. Nor do other facts, such as whether the match was dry or not, have any bearing on the objective value of (7c). However, a speaker who knows that the match was wet but does not know whether it was struck may still consistently believe that the conditional is false. More generall ...
The origins and legacy of Kolmogorov`s Grundbegriffe
The origins and legacy of Kolmogorov`s Grundbegriffe

lecture notes on probability, statistics and linear algebra
lecture notes on probability, statistics and linear algebra

A65 INTEGERS 13 (2013) INDEPENDENT DIVISIBILITY PAIRS ON
A65 INTEGERS 13 (2013) INDEPENDENT DIVISIBILITY PAIRS ON

Bayes Net Parameter Learning.
Bayes Net Parameter Learning.

AMS 261: Probability Theory (Winter 2014)
AMS 261: Probability Theory (Winter 2014)

Misspecified Recovery Jaroslav Boroviˇcka Lars Peter Hansen Jos´e A. Scheinkman
Misspecified Recovery Jaroslav Boroviˇcka Lars Peter Hansen Jos´e A. Scheinkman

Sample pages 1 PDF
Sample pages 1 PDF

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1. Markov chains

A Probabilistic Boolean Logic and its Meaning
A Probabilistic Boolean Logic and its Meaning

Thesis - Connected Mathematics: Building Concrete Relationships
Thesis - Connected Mathematics: Building Concrete Relationships

Estimating Subjective Probabilities
Estimating Subjective Probabilities

Biography of Andrei Andreyevich Markov - No
Biography of Andrei Andreyevich Markov - No

Refined Error Bounds for Several Learning Algorithms
Refined Error Bounds for Several Learning Algorithms

... For many of these results, we also state bounds on the expected error rate: E er(ĥm ) . In this case, the optimal distribution-free bound is known to be within a constant factor of d/m (Haussler, Littlestone, and Warmuth, 1994; Li, Long, and Srinivasan, 2001), and this rate is achieved by the one-i ...
Causes and Statistics - University of Rochester
Causes and Statistics - University of Rochester

... The problem of multiple causes or overdetermination fares no better for the counterfactual account. Consider two people simultaneously shooting a third person through the heart. If bullet A had not been fired, the third party would not have died. That is not true, bullet B would have killed him, an ...
Fast Portscan Detection Using Sequential Hypothesis
Fast Portscan Detection Using Sequential Hypothesis

communication vs. computation - School of Technology and
communication vs. computation - School of Technology and

... letting P1 send the second column and P2 the remaining columns). The goal is to minimize the communication complexity, measured as the length of the longest message sent. A closely related problem was studied by Babai et al. (2003). When k > n (say, k = n + 1) our problem admits the following simple ...
Iterative and Active Graph Clustering Using Trace Norm
Iterative and Active Graph Clustering Using Trace Norm

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Birthday problem

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