balicea's machine-learning [18 articles] Export Sort

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	SVM-based segmentation and classification of remotely sensed data [My Copy] International Journal of Remote Sensing, Vol. 29, No. 24. (2008), pp. 7277-7283. by I. Lizarazo posted to bio-stat machine-learning reviews by balicea on 2008-12-29 19:57:24 as along with 1 group Forest inventory and monitoring
	Mining gene expression profiles: expression signatures as cancer phenotypes [My Copy] Nature Reviews Genetics, Vol. 8, No. 8. (03 July 2007), pp. 601-609. by Joseph R. Nevins, Anil Potti posted to bio-cancer gene-expression genotype-to-phenotype machine-learning systems-biology by balicea on 2008-12-29 07:21:12 as along with 17 people and 2 groups songpku ipark-kaist jmstat daforerog Scis0000002 zufar Zephyrus fhalbrit misonneh srp33 jfr guhjy rdiaz giovanni cabbagezs dbae minostro Roswell Cancer Crosstalk GeschwindLab
	Machine Learning: The State of the Art [My Copy] IEEE Intelligent Systems, Vol. 23, No. 6. (2008), pp. 49-55. by Jue Wang, Qing Tao posted to applied-math machine-learning reviews by balicea on 2008-12-22 17:21:45 as along with 3 people fhalbrit reyez fheintz
	Natural image statistics for digital image forensics [My Copy] (2005) by Siwei Lyu posted to applied-math bio-stat informatics machine-learning by balicea on 2008-07-18 20:53:40 as along with 1 group Dartmouth Computer Science
	Acquiring robust, force-based assembly skills from human demonstration [My Copy] Robotics and Automation, IEEE Transactions on In Robotics and Automation, IEEE Transactions on, Vol. 16, No. 6. (2000), pp. 772-781. by M. Skubic, R. A. Volz posted to learning-and-memory machine-learning musculoskeletal_systems neuro-mechanics robotics sensory-systems by balicea on 2008-06-26 17:01:56 as along with 1 person lrozo
	Polygenes, Risk Prediction, and Targeted Prevention of Breast Cancer [My Copy] N Engl J Med, Vol. 358, No. 26. (26 June 2008), pp. 2796-2803. by Paul D. P. Pharoah, Antonis C. Antoniou, Douglas F. Easton, Bruce A. J. Ponder posted to diseaseomics gene-gene genome-prediction genome-variation informatics machine-learning by balicea on 2008-06-26 05:25:13 as along with 5 people and 2 groups aeisen Zephyrus misonneh songpku guhjy Roswell Cancer Crosstalk Breast Cancer Reading Club
	Predicting Movement from Multiunit Activity [My Copy] J. Neurosci., Vol. 27, No. 31. (1 August 2007), pp. 8387-8394. by Eran Stark, Moshe Abeles posted to brain-machine-interface machine-learning movement-science musculoskeletal_systems neuro-coding neuro-computation neuro-spike systems-biology by balicea on 2008-06-19 17:04:39 as along with 1 person erk
	The immune system, adaptation, and machine learning [My Copy] Phys. D, Vol. 2, No. 1-3. (1986), pp. 187-204. by J. D. Farmer, N. H. Packard, A. S. Perelson posted to adaptive-systems diseaseomics ecophysiology functional-genome general-physiology immunity machine-learning systems-biology by balicea on 2008-06-19 16:31:05 as along with 1 person tomhebbron
	Introduction to Machine Learning (Adaptive Computation and Machine Learning) [My Copy] (01 October 2004) by Ethem Alpaydin posted to adaptive-systems applied-math machine-learning methods by balicea on 2008-06-17 03:17:08 as along with 10 people and 3 groups ilyashl jorritschippers pdlug sb-3000 ryanshaw smallbadguy rhino158 jliegl quianominorleo robotact 18th-century_history_culture_and_society sims_phd_cohort_2005 digital_youth
	Effects of morphometric descriptor changes on statistical classification and morphospaces [My Copy] Biological Journal of the Linnean Society, Vol. 83, No. 2. (2004), pp. 243-260. by Nicolas Navarro, Xavier Zatarain, Sophie Montuire posted to applied-math bio-stat evo-tech machine-learning morphogenesis by balicea on 2008-06-01 06:59:05 as along with 1 person kourai
	The artificial life roots of artificial intelligence [My Copy] Artif. Life, Vol. 1, No. 1-2. (1994), pp. 75-110. by Luc Steels posted to adaptive-systems alife evo-computation machine-learning neuro-computation by balicea on 2008-02-15 02:31:45 as along with 1 person and 1 group hkaruna macc
	Data mining in brain imaging. [My Copy] Stat Methods Med Res, Vol. 9, No. 4. (August 2000), pp. 359-394. by V. Megalooikonomou, J. Ford, L. Shen, F. Makedon, A. Saykin posted to brain-anatomy cog-neuro machine-learning methods neuro-sync neuro-timing by balicea on 2008-01-27 17:24:25 as along with 2 people librain jamescford
	Classifying spatial patterns of brain activity with machine learning methods: application to lie detection. [My Copy] Neuroimage, Vol. 28, No. 3. (15 November 2005), pp. 663-668. by C. Davatzikos, K. Ruparel, Y. Fan, et al.D. G. Shen, M. Acharyya, J. W. Loughead, R. C. Gur, D. D. Langleben posted to brain-anatomy cog-neuro machine-learning methods neuro-sync neuro-tech neuro-timing by balicea on 2008-01-27 17:22:45 as along with 7 people nkishan librain szielke koba224 jclau wtribbey isami
	An Algorithm for Pattern Discovery in Time Series [My Copy] (27 November 2002) by Cosma R. Shalizi, Kristina L. Shalizi, James P. Crutchfield posted to applied-math complexity evo-computation machine-learning time-dynamics by balicea on 2008-01-22 19:50:14 as along with 5 people and 3 groups ansobol jack scis0000001 nathanielvirgo mattjb Vision ComplexAdaptiveSystems DSTO-CAS
	No free lunch theorems for optimization [My Copy] Evolutionary Computation, IEEE Transactions on, Vol. 1, No. 1. (06 August 2002), pp. 67-82. by D. H. Wolpert, W. G. Macready posted to alife applied-math bio-stat evo-computation evolution-of-intelligence evolvability evo-tech learning-and-memory machine-learning by balicea on 2008-01-22 02:46:56 as along with 17 people and 3 groups philipppixel tg1w naveer arsyed qwermish lcigler santi515 abhik fghorow nojhan yog mmunson petrposik Bc91 aberlan japarejo pmendes EvolutionaryComputation Metaheuristics Optimization
	Vienna RNA secondary structure server [My Copy] Nucl. Acids Res., Vol. 31, No. 13. (1 July 2003), pp. 3429-3431. by Ivo L. Hofacker posted to evolutionary-proteomics informatics machine-learning systems-biology by balicea on 2008-01-22 00:15:05 as along with 13 people stharward ellarond heliopais evaf dayjm eckart_bindewald arcticrasta mtagaya dquest ilh onufriev maralena reyez
	Extracting protein regulatory networks with graphical models. [My Copy] Proteomics, Vol. 7 Suppl 1 (September 2007), pp. 51-59. by M. Grzegorczyk posted to applied-math cross-talk evolutionary-proteomics genotype-to-phenotype machine-learning modeling-and-simulation molecular-signaling networks regulatory-cascades by balicea on 2008-01-02 07:47:23 as along with 1 person guhjy
	Extracting biology from high-dimensional biological data. [My Copy] The Journal of experimental biology, Vol. 210, No. Pt 9. (1 May 2007), pp. 1507-1517. by John Quackenbush posted to applied-math evolutionary-genomics evolutionary-proteomics informatics machine-learning systems-biology by balicea on 2008-01-02 07:40:35 as along with 8 people operon fgibson guhjy frohike Sharpshoot jo_davies jfr AlexanderPico

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balicea's machine-learning [18 articles] Export Sort

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