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ECML
2006
Springer
13 years 11 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
MOBICOM
2004
ACM
14 years 1 months ago
Initializing newly deployed ad hoc and sensor networks
A newly deployed multi-hop radio network is unstructured and lacks a reliable and efficient communication scheme. In this paper, we take a step towards analyzing the problems exis...
Fabian Kuhn, Thomas Moscibroda, Roger Wattenhofer
AIEDU
2008
174views more  AIEDU 2008»
13 years 8 months ago
Automatic Extraction of Pedagogic Metadata from Learning Content
Annotating learning material with metadata allows easy reusability by different learning/tutoring systems. Several metadata standards have been developed to represent learning obje...
Devshri Roy, Sudeshna Sarkar, Sujoy Ghose
ICPR
2010
IEEE
14 years 4 days ago
Efficient Semantic Indexing for Image Retrieval
Semantic analysis of a document collection can be viewed as an unsupervised clustering of the constituent words and documents around hidden or latent concepts. This has shown to i...
Chandrika Pulla, Suman Karthik, C. V. Jawahar
BIBE
2007
IEEE
169views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
Combining Semantics, Context, and Statistical Evidence in Genomics Literature Search
—We present an information retrieval model for combining evidence from concept-based semantics, term statistics, and context for improving search precision of genomics literature...
Jay Urbain, Nazli Goharian, Ophir Frieder