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» A Framework for Multiple-Instance Learning
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214
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NIPS
2008
15 years 8 months ago
Predicting the Geometry of Metal Binding Sites from Protein Sequence
Metal binding is important for the structural and functional characterization of proteins. Previous prediction efforts have only focused on bonding state, i.e. deciding which prot...
Paolo Frasconi, Andrea Passerini
NIPS
2007
15 years 8 months ago
Anytime Induction of Cost-sensitive Trees
Machine learning techniques are increasingly being used to produce a wide-range of classifiers for complex real-world applications that involve nonuniform testing costs and miscl...
Saher Esmeir, Shaul Markovitch
209
Voted
UAI
2008
15 years 8 months ago
Feature Selection via Block-Regularized Regression
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
Seyoung Kim, Eric P. Xing
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 8 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
177
Voted
IADIS
2004
15 years 8 months ago
SPERO - A Personalized Integrated E-Learning System
One of the most important topics in modern Internet-based multimedia e-learning systems oriented towards teachers, students and learners in general, is the treatment of informatio...
Paraskevi K. Tzouveli, Phivos Mylonas, Stefanos D....