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JMLR
2012
11 years 11 months ago
Hierarchical Relative Entropy Policy Search
Many real-world problems are inherently hierarchically structured. The use of this structure in an agent’s policy may well be the key to improved scalability and higher performa...
Christian Daniel, Gerhard Neumann, Jan Peters
ESANN
2006
13 years 10 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
CSMR
2008
IEEE
14 years 3 months ago
Towards Recovering Architectural Concepts Using Latent Semantic Indexing
Software engineers think about an existing software system in terms of high-level models. The high-level models are translated to source code and the concepts represented in these...
Pieter van der Spek, Steven Klusener, Piërre ...
SIGIR
2003
ACM
14 years 1 months ago
On an equivalence between PLSI and LDA
Latent Dirichlet Allocation (LDA) is a fully generative approach to language modelling which overcomes the inconsistent generative semantics of Probabilistic Latent Semantic Index...
Mark Girolami, Ata Kabán
ICDM
2008
IEEE
224views Data Mining» more  ICDM 2008»
14 years 3 months ago
A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
Yang Song, Lu Zhang 0007, C. Lee Giles