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» Patterns in Learning to Program - An Experiment
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BMCBI
2008
100views more  BMCBI 2008»
13 years 9 months ago
PatternLab for proteomics: a tool for differential shotgun proteomics
Background: A goal of proteomics is to distinguish between states of a biological system by identifying protein expression differences. Liu et al. demonstrated a method to perform...
Paulo C. Carvalho, Juliana S. G. Fischer, Emily I....
NIPS
2003
13 years 10 months ago
Multiple-Instance Learning via Disjunctive Programming Boosting
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
Stuart Andrews, Thomas Hofmann
SIGCSE
2008
ACM
92views Education» more  SIGCSE 2008»
13 years 8 months ago
Patterns for programming in parallel, pedagogically
Pipeline, Delta, and Black Hole are three simple patterns used in concurrent software design. We recently presented these and other patterns for parallelism at a nine-hour worksho...
Matthew C. Jadud, Jon Simpson, Christian L. Jacobs...
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
14 years 9 months ago
Experiments with random projections for machine learning
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
Dmitriy Fradkin, David Madigan
AIIA
1995
Springer
14 years 11 days ago
Learning Programs in Different Paradigms using Genetic Programming
Genetic Programming (GP) is a method of automatically inducing programs by representing them as parse trees. In theory, programs in any computer languages can be translated to par...
Man Leung Wong, Kwong-Sak Leung