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» Implicit Abstraction Heuristics
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JCB
2007
97views more  JCB 2007»
13 years 10 months ago
Parsing Nucleic Acid Pseudoknotted Secondary Structure: Algorithm and Applications
Accurate prediction of pseudoknotted nucleic acid secondary structure is an important computational challenge. Prediction algorithms based on dynamic programming aim to find a st...
Baharak Rastegari, Anne Condon
DATAMINE
1999
81views more  DATAMINE 1999»
13 years 9 months ago
The Role of Occam's Razor in Knowledge Discovery
Many KDD systems incorporate an implicit or explicit preference for simpler models, but this use of "Occam's razor" has been strongly criticized by several authors (...
Pedro Domingos
CHI
2011
ACM
13 years 1 months ago
HyperSource: bridging the gap between source and code-related web sites
Programmers frequently use the Web while writing code: they search for libraries, code examples, tutorials, and documentation. This link between code and visited Web pages remains...
Björn Hartmann, Mark Dhillon, Matthew K. Chan
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
12 years 12 days ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
ECML
2004
Springer
14 years 3 months ago
Model Approximation for HEXQ Hierarchical Reinforcement Learning
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...
Bernhard Hengst