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» Predicting building contamination using machine learning
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ICALT
2005
IEEE
15 years 3 months ago
Building Repositories of Learning Objects in Specialized Domains: The Chasqui Approach
In this paper we describe the Chasqui approach to the construction of repositories of learning objects (LO) in specific knowledge areas. This approach is the result of our experie...
José Luis Sierra, Alfredo Fernández-...
ICML
2007
IEEE
15 years 10 months ago
Map building without localization by dimensionality reduction techniques
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
Takehisa Yairi
69
Voted
ICML
2010
IEEE
14 years 10 months ago
The Role of Machine Learning in Business Optimization
In a trend that reflects the increasing demand for intelligent applications driven by business data, IBM today is building out a significant number of applications that leverage m...
Chid Apte
DIS
2004
Springer
15 years 3 months ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo
CP
2006
Springer
15 years 1 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...