Hybrid predictors for next location prediction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4159 LNCS, Issue , 2006, Pages 125-134

  Petzold, Jan ^a   Bagci, Faruk ^a   Trumler, Wolfgang ^a   Ungerer, Theo ^a  

^a UNIVERSITY OF AUGSBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

HYBRID COMPUTERS; MARKOV PROCESSES; NEURAL NETWORKS; TRACKING (POSITION);

APPROPRIATE PREDICTION; HYBRID PREDICTORS; LOCATION PREDICTION; PREDICTION ACCURACY;

SIGNAL FILTERING AND PREDICTION;

EID: 33750082654     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11833529_13     Document Type: Conference Paper

References (14)

1. Petzold, J., Bagci, F., Trumler, W., Ungerer, T.: Global and Local Context Prediction. In: Artificial Intelligence in Mobile Systems 2003 (AIMS 2003), Seattle, WA, USA (2003)
2. Vintan, L., Gellert, A., Petzold, J., Ungerer, T.: Person Movement Prediction Using Neural Networks. In: First Workshop on Modeling and Retrieval of Context, Ulm, Germany (2004)
3. Petzold, J., Pietzowski, A., Bagci, F., Trumler, W., Ungerer, T.: Prediction of Indoor Movements Using Bayesian Networks. In: Location- and Context-Awareness (LoCA 2005), Oberpfaffenhofen, Germany (2005)
4. Chen, I.C.K., Coffey, J.T., Mudge, T.N.: Analysis of Branch Prediction via Data Compression. In: ASPLOS VII, Cambridge, Massachusetts, USA (1996) 128-137
5. Ross, S.M.: Introduction to Probability Models. Academic Press (1985)
6. Petzold, J., Bagci, F., Trumler, W., Ungerer, T.: Confidence Estimation of the State Predictor Method. In: 2nd European Symposium on Ambient Intelligence, Eindhoven, The Netherlands (2004) 375-386
7. Petzold, J.: Augsburg Indoor Location Tracking Benchmarks. Context Database, Institute of Pervasive Computing, University of Linz, Austria. http://www.soft.uni-linz.ac.at/Research/Context-Database/index.php (2005)
8. Ashbrook, D., Starner, T.: Using GPS to learn significant locations and predict movement across multiple users. Personal and Ubiquitous Computing 7 (2003) 275-286
9. Bhattacharya, A., Das, S.K.: LeZi-Update: An Information-Theoretic Framework for Personal Mobility Tracking in PCS Networks. Wireless Networks 8 (2002) 121-135
10. Kaowthumrong, K., Lebsack, J., Han, R.: Automated Selection of the Active Device in Interactive Multi-Device Smart Spaces. In: Workshop at UbiComp'02: Supporting Spontaneous Interaction in Ubiquitous Computing Settings, Gothenburg, Sweden (2002)
11. Mozer, M.C.: The Neural Network House: An Environment that Adapts to its Inhabitants. In: AAAI Spring Symposium on Intelligent Environments, Menlo Park, CA, USA (1998) 110-114
12. Patterson, D.J., Liao, L., Fox, D., Kautz, H.: Inferring High-Level Behavior from Low-Level Sensors. In: 5th International Conference on Ubiquitous Computing, Seattle, WA, USA (2003) 73-89
13. Young, C., Smith, M.D.: Improving the Accuracy of Static Branch Prediction Using Branch Correlation. In: Proceedings of the Sixth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-VI), San Jose, USA (1994) 232-241
14. Grunwald, D., Klauser, A., Manne, S., Pleszkun, A.: Confidence Estimation for Speculation Control. In: Proceedings of the 29th Annual International Symposium on Computer Architecture, Barcelona, Spain (1998) 122-131