sdvillal's simplicity [29 articles] Export

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	Fundamental Limitations on Search Algorithms: Evolutionary Computing in Perspective [My Copy] In Lecture Notes in Computer Science 1000, Vol. 1000 (1995), pp. 275-291. by Nicholas J. Radcliffe, Patrick D. Surry posted to simplicity knowledge-limits free-lunch by sdvillal on 2009-11-03 23:04:16 as
	Physical limits of inference [My Copy] (10 Aug 2007) by David H. Wolpert posted to incompleteness knowledge-limits ml-philosophy simplicity by sdvillal on 2009-05-02 13:46:48 as along with 7 people and 2 groups stringertheory A_Olympia proportional suizan qwermish abominable pak Philosophy_of_Information Blog_and_Wiki_Research
	Human Knowledge: Its Scope and Limits [My Copy] Philosophy, Vol. 24, No. 90. (1949), pp. 253-260. by L. J. Russell posted to free-lunch knowledge-limits simplicity by sdvillal on 2009-05-02 13:46:03 as
	Information and Complexity in Statistical Modeling (Information Science and Statistics) [My Copy] (25 January 2007) by Jorma Rissanen posted to coding-theory mdl ml-philosophy simplicity by sdvillal on 2008-02-15 11:15:21 as along with 1 person BrianTomasik
	Very Simple Classification Rules Perform Well on Most Commonly Used Datasets [My Copy] Mach. Learn., Vol. 11, No. 1. (April 1993), pp. 63-90. by Robert C. Holte posted to ml-foundations ml-philosophy simplicity by sdvillal on 2007-06-18 23:20:22 as along with 7 people jmchauvet drivard hellbunnie tessaverhoef tmancill Jaldert yaroslavvb
	An Introduction to the Bootstrap [My Copy] (15 May 1994) by Bradley Efron, Robert J. Tibshirani posted to ensemble-diversity ensembles simplicity statistics by sdvillal on 2007-02-08 15:47:18 as along with 16 people and 2 groups allmensch napvasconcelos frohike gyuli pbellec ctacmo jclau bedo dejang meatball skrofej polykrates naegele shimazaki ecome sfcheung Statistics_and_Social_Science Biostatistics
	Efficient Approximations for the MarginalLikelihood of Bayesian Networks with Hidden Variables [My Copy] Mach. Learn., Vol. 29, No. 2-3. (1997), pp. 181-212. by David M. Chickering, David Heckerman posted to simplicity by sdvillal on 2006-11-21 10:21:26 as along with 2 people ransombriggs suizan
	Data complexity in machine learning and novel classification algorithms. [My Copy] (2006) by Ling Li posted to dimension-reduction ensembles simplicity by sdvillal on 2006-11-19 13:17:37 as
	Neural Networks and the Bias/Variance Dilemma [My Copy] Neural Computation, Vol. 4, No. 1. (January 1992), pp. 1-58. by Stuart Geman, Elie Bienenstock, René Doursat posted to error-estimation free-lunch simplicity by sdvillal on 2006-11-14 15:41:31 as along with 8 people asterix77 installe ntrinh misovalko yaroslavvb neteler atbrew suizan
	The No Free Lunch and Problem Description Length [My Copy] In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001) (July-November 2001), pp. 565-570. by C. Schumacher, M. D. Vose, L. D. Whitley edited by Lee Spector, Erik D. Goodman, Annie Wu, et al.W. B. Langdon, Hans M. Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, Edmund Burke posted to free-lunch simplicity by sdvillal on 2006-11-13 20:19:43 as
	Further Experimental Evidence against the Utility of Occam's Razor [My Copy] Journal of Artificial Intelligence Research, Vol. 4 (1996), pp. 397-417. by Geoffrey I. Webb posted to simplicity by sdvillal on 2006-11-12 14:28:04 as
	Toward a Justification of Meta-learning: Is the No Free Lunch Theorem a Show-stopper? [My Copy] In Proceedings of the ICML-2005 Workshop on Meta-learning (2005), pp. 12-19. by C. Giraud-Carrier, F. Provost posted to ensembles simplicity by sdvillal on 2006-11-12 13:48:01 as
	Lookahead-based algorithms for anytime induction of decision trees [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004) by Saher Esmeir, Shaul Markovitch posted to anytime-induction simplicity by sdvillal on 2006-11-12 12:48:12 as
	On the futility of blind search: an algorithmic view of "no free lunch". [My Copy] Evol Comput, Vol. 6, No. 2. (1998), pp. 109-127. by J. C. Culberson posted to free-lunch simplicity by sdvillal on 2006-11-09 15:58:22 as along with 1 person alexisgallagher
	Simple Explanation of the No-Free-Lunch Theorem and Its Implications [My Copy] Journal of Optimization Theory and Applications, Vol. V115, No. 3. (1 December 2002), pp. 549-570. by Y. C. Ho, D. L. Pepyne posted to free-lunch simplicity by sdvillal on 2006-11-09 15:35:23 as
	No Free Lunch Theorems for Optimization [My Copy] IEEE Transactions on Evolutionary Computation, Vol. 1, No. 1. (April 1997), pp. 67-82. by David H. Wolpert, William G. Macready posted to free-lunch simplicity by sdvillal on 2006-11-09 15:24:30 as along with 6 people schaal Ferran per_rutquist lop wvangeit ljmatkins
	No Free Lunch Theorems for Search [My Copy] No. SFI-TR-95-02-010. (1995) by David H. Wolpert, William G. Macready posted to free-lunch simplicity by sdvillal on 2006-11-09 15:11:09 as along with 6 people abhik ddahlem lop atbrew bsilverthorn skarab
	A Geometric Formulation of Occam's Razor for Inference of Parametric Distributions [My Copy] (8 January 1996) by Vijay Balasubramanian posted to simplicity by sdvillal on 2006-11-07 10:22:56 as along with 3 people yaroslavvb davidr scis0000001
	Axiomatic Approach to Feature Subset Selection Based on Relevance [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 21, No. 3. (March 1999), pp. 271-277. by Hui Wang, David Bell, Fionn Murtagh posted to dimension-reduction feature-selection simplicity by sdvillal on 2006-11-07 10:20:21 as
	Occam's Two Razors: The Sharp and the Blunt. [My Copy] In KDD (1998), pp. 37-43. by Pedro Domingos posted to free-lunch simplicity by sdvillal on 2006-10-27 12:38:29 as
	A Process-Oriented Heuristic for Model Selection [My Copy] In ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning (1998), pp. 127-135. by Pedro Domingos posted to error-estimation simplicity by sdvillal on 2006-10-27 11:42:00 as
	Process-Oriented Estimation of Generalization Error [My Copy] In IJCAI '99: Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (1999), pp. 714-721. by Pedro Domingos posted to error-estimation simplicity by sdvillal on 2006-10-27 11:38:12 as
	Sharpening Occam's razor [My Copy] Information Processing Letters, Vol. 85, No. 5. (16 March 2003), pp. 267-274. by Ming Li, John Tromp, Paul Vitanyi posted to simplicity by sdvillal on 2006-10-27 11:29:27 as along with 1 person suizan
	Learnability and the Vapnik-Chervonenkis dimension [My Copy] J. ACM, Vol. 36, No. 4. (October 1989), pp. 929-965. by Anselm Blumer, A. Ehrenfeucht, David Haussler, Manfred K. Warmuth posted to simplicity by sdvillal on 2006-10-27 11:27:03 as
	The intelligibility of the universe and the notions of simplicity, complexity and irreducibility [My Copy] (2002) by G. Chaitin posted to classic-refs free-lunch simplicity by sdvillal on 2006-10-18 18:59:05 as along with 3 people and 1 group Scis0000002 gogoasa livingthingdan livingthing
	The Role of Occam's Razor in Knowledge Discovery [My Copy] Data Mining and Knowledge Discovery, Vol. 3, No. 4. (December 1999), pp. 409-425. by P. Domingos posted to free-lunch simplicity by sdvillal on 2006-10-16 17:44:21 as along with 1 person suizan
	Occam's razor [My Copy] Inf. Process. Lett., Vol. 24, No. 6. (April 1987), pp. 377-380. by Alselm Blumer, Andrzej Ehrenfeucht, David Haussler, Manfred K. Warmuth edited by Simplicity posted to classic-refs simplicity by sdvillal on 2006-10-16 17:41:38 as along with 1 person ldietz
	Circuits of the mind [My Copy] (1994) by L. G. Valiant posted to neural-networks simplicity by sdvillal on 2006-10-15 17:19:15 as along with 1 person sprev
	A theory of the learnable [My Copy] Commun. ACM, Vol. 27, No. 11. (November 1984), pp. 1134-1142. by L. G. Valiant posted to boosting classic-refs simplicity by sdvillal on 2006-10-15 17:13:49 as along with 6 people misovalko mthomure AbnerCYH dwf mangesh bsilverthorn

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occ-applications	263
dimension-reduction	250
occ-others	135
feature-selection	109
occ-support-vector	109
occ-statistical	72
spectral	63
kernel-machines	62
ensembles	59
distance-metrics	54
acii-2007	53
occ-neural-networks	50
locality	49
emotion-recognition	48
time-series	47
semi-supervised	42
occ-to-supervised	36
error-estimation	35
simplicity	29
ml-foundations	28
clustering	27
text-classification	26
ensemble-diversity	25
active-learning	22
multimedia-ir	21
classification	20
bioinformatics	20
intrinsic-dimension-estimation	19
overfitting	19
boosting	19
occ-survey	18
artificial-negatives	17
scalability	17
ml-philosophy	17
reductions	16
occ-high-dimensional	16
20070622	16
data-mining-books	16
free-lunch	16
multiclass	16
image-processing	15
occ-nearest-neighbor	15
calibration	15
multilabel	14
algorithmics	14
occ-dimension-reduction	14
occ-parameter-fitting	13
high-dimensionality	13
occ-comparison	13
autoencoders	12
imbalanced	12
data-mining-general	11
evaluation-methodology	11
classic-refs	11
datasets	11
ica	10
immune-systems	10
pca	10
occ-to-multiclass	9
bayesian-learning	9
neural-networks	9
manufacturing	9
ranking	8
local-learning	8
pca-computation	6
discretization	6
occ-with-outliers	6
roc	6
medical-imaging	6
emotion-models	6
survey	6
geometry	6
feature-extraction	6
software-engineering	6
graphs	5
nearest-neighbors	5
loss-functions	5
unsupervised-dr-for-classification	5
lpp	5
theoretical-computer-science	5
algebra	5
incremental-learning	4
visualization	4
dirichlet	4
antilearning	4
population-based	4
computer-vision	4
cost-sensitive	4
automata	4
online-learning	4
reject-option	4
model-selection	4
programming	4
occ-preprocessing	4
complexity	4
optimization	3
unobserved-features	3
numerical-computing	3
embedded-fs	3
ml-software	3
interpretability	3
small-sample-size	3
knowledge-limits	3
unsupervised-and-supervised	3
multiclass-to-occ	3
ml-review	3
abduction	3
computer-science	3
education	3
consistency	3
occ-for-multiclass	3
biometrics	3
occ-with-unlabelled	3
generalization	3
transduction	3
learning-on-graphs	3
concentration-of-measure	3
statistics	3
maths	3
test-time-inference	3
python	2
high-performance-computing	2
occ-clustering	2
negative-features	2
anomaly-detection	2
nmf	2
fault-detection	2
sets-of-features	2
occ-vs-supervised	2
oca	2
abstain-option	2
structured-domains	2
negative-example-selection	2
proportional-data	2
featureless	2
decision-theory	2
multilabel-adaptation	2
general-bayesian-learning	2
lazy-learning	2
dr-for-classification	2
algorithmic-distance-metrics	2
multiple-testing	2
anytime-induction	2
fractal	2
regularization	2
montecarlo	2
concept-drift	2
extreme-value	2
being-harsh	1
cryptography	1
presentations	1
mdl	1
margin	1
video	1
learnability	1
no-silver-bullet	1
sp	1
co-training	1
natural-optimization	1
mds	1
scientific-computing	1
science	1
meta-learning	1
bandits	1
structured-output	1
scale-sensitive	1
occ-fusion	1
genomics	1
languages-benchmarks	1
research-limitations	1
bias-variance	1
map-reduce	1
indexing	1
gmms	1
phase-transition	1
pso	1
sat	1
threshold-selection	1
ambiguity	1
noisylabels	1
supervised-adaptation	1
speaker-verification	1
uniform-convergence	1
neyman-pearson	1
ilp	1
sampling	1
occ-to-multilabel	1
incompleteness	1
cbir	1
publish-or-perish	1
scientific-software	1
graphical-models	1
learning-stability	1
detecting-performance-fractures	1
agnostic-learning	1
communication	1
models-agreement	1
occ-postprocessing	1
non-stationary	1
inter-feature-predictivity	1
mdr	1
game-theory	1
practical-scenarios	1
compressed-sensing	1
black-humour	1
multi-instance	1
algorithm-portfolio	1
entaglement	1
randomness	1
partially-labeled-data	1
distribution-shift	1
speech	1
supervised	1
novels	1
learning-bounds	1
normed-spaces	1
coding-theory	1
fda	1
hmm	1
metric-learning	1
occ-reconstruction	1
classification-performance-metrics	1
algorithmic-stability	1
model-analysis	1
seminal	1
lda	1
non-linear	1

sdvillal's simplicity [29 articles] Export

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