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» Reasoning about Function Objects
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IJCAI
2007
13 years 10 months ago
Explanation-Based Feature Construction
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
CSC
2006
13 years 9 months ago
An Algorithm to Solve a Linear Program
: This work is about an algorithm for solving a linear program which is simple to apply. There are three algorithms in this work. The first algorithm solves a two-variable linear p...
Rajan Alex
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
13 years 9 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
AIPS
2000
13 years 9 months ago
Computing Global Strategies for Multi-Market Commodity Trading
Thefocus of this workis the computationof efficient strategies for commoditytrading in a multi-marketenvironment. In today's "global economy"commodities are often b...
Milos Hauskrecht, Luis E. Ortiz, Ioannis Tsochanta...
AAAI
2010
13 years 9 months ago
The Genetic Algorithm as a General Diffusion Model for Social Networks
Diffusion processes taking place in social networks are used to model a number of phenomena, such as the spread of human or computer viruses, and the adoption of products in `vira...
Mayank Lahiri, Manuel Cebrián