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» A Bayesian Metric for Evaluating Machine Learning Algorithms
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KDD
2009
ACM
132views Data Mining» more  KDD 2009»
15 years 10 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
ATAL
2010
Springer
14 years 10 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
ENTCS
2006
104views more  ENTCS 2006»
14 years 9 months ago
Using Bytecode Instruction Counting as Portable CPU Consumption Metric
Accounting for the CPU consumption of applications is crucial for software development to detect and remove performance bottlenecks (profiling) and to evaluate the performance of ...
Walter Binder, Jarle Hulaas
PAMI
2006
233views more  PAMI 2006»
14 years 9 months ago
Model-Based Hand Tracking Using a Hierarchical Bayesian Filter
This paper sets out a tracking framework, which is applied to the recovery of threedimensional hand motion from an image sequence. The method handles the issues of initialization,...
Björn Stenger, Arasanathan Thayananthan, Phil...
COLING
2000
14 years 11 months ago
Application of Analogical Modelling to Example Based Machine Translation
This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The notions of supracontext and subcontext are extende...
Christos Malavazosi, Stelios Piperidis