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ICML
2005
IEEE
16 years 5 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
RECOMB
2009
Springer
16 years 5 months ago
Simultaneous Alignment and Folding of Protein Sequences
Abstract. Accurate comparative analysis tools for low-homology proteins remains a difficult challenge in computational biology, especially sequence alignment and consensus folding ...
Bonnie Berger, Charles W. O'Donnell, Jér&oc...
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
16 years 5 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
127
Voted
KDD
2005
ACM
158views Data Mining» more  KDD 2005»
16 years 5 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek
133
Voted
PERCOM
2006
ACM
16 years 4 months ago
Analysing fundamental properties of marker-based vision system designs
This paper investigates fundamental properties of Marker-based Vision (MBV) systems. We present a theoretical analysis of the performance of basic tag designs which is extended th...
Andrew C. Rice, Robert K. Harle, Alastair R. Beres...