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JMLR
2012
13 years 9 months ago
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...
ICDCS
2002
IEEE
15 years 11 months ago
A Practical Approach for ?Zero? Downtime in an Operational Information System
An Operational Information System (OIS) supports a real-time view of an organization’s information critical to its logistical business operations. A central component of an OIS ...
Ada Gavrilovska, Karsten Schwan, Van Oleson
ALMOB
2006
155views more  ALMOB 2006»
15 years 6 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 7 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
EWSN
2007
Springer
16 years 6 months ago
RIDA: A Robust Information-Driven Data Compression Architecture for Irregular Wireless Sensor Networks
Abstract. In this paper, we propose and evaluate RIDA, a novel informationdriven architecture for distributed data compression in a sensor network, allowing it to conserve energy a...
Xuan Thanh Dang, Nirupama Bulusu, Wu-chi Feng