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» Computational Experience with the Batch Means Method
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CSB
2004
IEEE
208views Bioinformatics» more  CSB 2004»
15 years 3 months ago
Pair Stochastic Tree Adjoining Grammars for Aligning and Predicting Pseudoknot RNA Structures
Motivation: Since the whole genome sequences for many species are currently available, computational predictions of RNA secondary structures and computational identifications of t...
Hiroshi Matsui, Kengo Sato, Yasubumi Sakakibara
ICML
2005
IEEE
16 years 14 days ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
ASPLOS
2009
ACM
16 years 9 days ago
Producing wrong data without doing anything obviously wrong!
This paper presents a surprising result: changing a seemingly innocuous aspect of an experimental setup can cause a systems researcher to draw wrong conclusions from an experiment...
Todd Mytkowicz, Amer Diwan, Matthias Hauswirth, Pe...
154
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EELC
2006
156views Languages» more  EELC 2006»
15 years 3 months ago
The Human Speechome Project
The Human Speechome Project is an effort to observe and computationally model the longitudinal course of language development for a single child at an unprecedented scale. The ide...
Deb Roy, Rupal Patel, Philip DeCamp, Rony Kubat, M...
ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
16 years 4 months ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...