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» The Generalized Theory of Model Preference
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SOFSEM
2010
Springer
16 years 3 months ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour

Book
3101views
17 years 5 months ago
Steven Shreve: Stochastic Calculus and Finance
This is a great draft book about stochastic calculus and finance. It covers large number of topics such as Introduction to Probability Theory, Conditional Expectation, Arbitrage Pr...
Prasad Chalasani, Somesh Jha
TAGT
1998
Springer
184views Graph Theory» more  TAGT 1998»
15 years 10 months ago
A Framework for Adding Packages to Graph Transformation Approaches
Graphs are a commonly used formalism for modeling many different kinds of static and dynamic data. In many applications, data modeling can be improved by using hierarchically struc...
Giorgio Busatto, Gregor Engels, Katharina Mehner, ...
DESRIST
2009
Springer
100views Education» more  DESRIST 2009»
15 years 11 months ago
A theory-based alternative for the design of instruction: functional design
An approach to instructional design is described which avoids some of the problems traditionally associated with process design models, sometimes referred to as waterfall models. ...
Andrew S. Gibbons
ATAL
2011
Springer
14 years 6 months ago
Solving Stackelberg games with uncertain observability
Recent applications of game theory in security domains use algorithms to solve a Stackelberg model, in which one player (the leader) first commits to a mixed strategy and then th...
Dmytro Korzhyk, Vincent Conitzer, Ronald Parr