Nearest-neighbor methods in learning and vision : theory and practice /
Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, may alleviate the problems in using these m...
| Other Authors: | Shakhnarovich, Gregory, Darrell, Trevor, Indyk, Piotr |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge, Mass. :
MIT Press,
©2005.
|
| Series: | Neural information processing series
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Similar Items
Nearest-neighbor methods in learning and vision : theory and practice /
Published: (2005)
Published: (2005)
Nearest neighbor search : a database perspective /
by: Papadopoulos, Apostolos N.
Published: (2005)
by: Papadopoulos, Apostolos N.
Published: (2005)
Nearest neighbor (NN) norms : nn pattern classification techniques /
Published: (1991)
Published: (1991)
Learning kernel classifiers : theory and algorithms /
by: Herbrich, Ralf
Published: (2002)
by: Herbrich, Ralf
Published: (2002)
Data analysis, learning symbolic and numeric knowledge : proceedings of the Conference on Data Analysis, Learning Symbolic and Numeric Knowledge, Antibes, September 11-14, 1989 /
Published: (1989)
Published: (1989)
An introduction to computational learning theory /
by: Kearns, Michael J.
Published: (1994)
by: Kearns, Michael J.
Published: (1994)
Learning with kernels : support vector machines, regularization, optimization, and beyond /
by: Schölkopf, Bernhard
Published: (2002)
by: Schölkopf, Bernhard
Published: (2002)
Introduction to statistical relational learning /
Published: (2007)
Published: (2007)
On the efficient determination of most near neighbors : horseshoes, hand grenades, Web search, and other situations when close is close enough /
by: Manasse, Mark S.
Published: (2012)
by: Manasse, Mark S.
Published: (2012)
Classification : theory - kNN.
Published: (2018)
Published: (2018)
Symbolic-numeric data analysis and learning : proceedings of the conference, Versailles, September 18-20, 1991 /
Published: (1991)
Published: (1991)
Nearest neighbor search : a database perspective /
by: Papadopoulos, Apostolos N.
Published: (2005)
by: Papadopoulos, Apostolos N.
Published: (2005)
Artificial neural networks : learning algorithms, performance evaluation, and applications /
by: Karayiannis, N. B. (Nicolaos B.), 1960-
Published: (1993)
by: Karayiannis, N. B. (Nicolaos B.), 1960-
Published: (1993)
Gaussian processes for machine learning /
by: Rasmussen, Carl Edward
Published: (2006)
by: Rasmussen, Carl Edward
Published: (2006)
Dataset shift in machine learning /
Published: (2009)
Published: (2009)
Rank-based methods for shrinkage and selection : with application to machine learning /
by: Saleh, A. K. Md. Ehsanes, et al.
Published: (2022)
by: Saleh, A. K. Md. Ehsanes, et al.
Published: (2022)
Semi-supervised learning /
Published: (2006)
Published: (2006)
Predicting structured data /
Published: (2007)
Published: (2007)
The mathematics of generalization : the proceedings of the SFI/CNLS Workshop on Formal Approaches to Supervised Learning /
Published: (1995)
Published: (1995)
Deep learning patterns and practices /
by: Ferlitsch, Andrew
Published: (2021)
by: Ferlitsch, Andrew
Published: (2021)
Algorithmic learning theory : 17th international conference ALT 2006 : Barcelona, Spain, October 2006 : proceedings /
Published: (2006)
Published: (2006)
Machine learning : from theory to applications : cooperative research at Siemens and MIT /
Published: (1993)
Published: (1993)
An introduction to computational learning theory /
by: Kearns, Michael J.
Published: (1994)
by: Kearns, Michael J.
Published: (1994)
Deterministic and statistical methods in machine learning : first international workshop, Sheffield, UK, September 7-10, 2004 : revised lectures /
Published: (2005)
Published: (2005)
Algorithmic learning theory : 15th international conference, ALT 2004, Padova, Italy, October 2-5, 2004 : proceedings /
Published: (2004)
Published: (2004)
Principles and labs for deep learning /
by: Huang, Shih-Chia
Published: (2021)
by: Huang, Shih-Chia
Published: (2021)
Learning machine translation /
Published: (2009)
Published: (2009)
Algorithmic learning theory : third workshop, ALT '92, Tokyo, Japan, October 20-22, 1992 : proceedings /
Published: (1993)
Published: (1993)
Algorithmic learning theory : 14th international conference, ALT 2003, Sapporo, Japan, October 2003 : proceedings /
Published: (2003)
Published: (2003)
Algorithmic learning theory : 18th international conference, ALT 2007, Sendai, Japan, October 1-4, 2007 : proceedings /
Published: (2007)
Published: (2007)
Algorithmic learning theory : 6th international workshop, ALT ̓95, Tokyo, Japan, October 18-20, 1995 : proceedings /
Published: (1995)
Published: (1995)
Algorithmic learning theory : 13th international conference, ALT 2002, Lübeck, Germany, November 24-26, 2002 : proceedings /
Published: (2002)
Published: (2002)
Algorithmic learning theory : 4th international workshop, ALT '93, Tokyo, Japan, November 8-10, 1993 : proceedings /
Published: (1993)
Published: (1993)
Algorithmic learning theory : 7th international workshop, ALT '96, Sydney, Australia, October 23-25, 1996 : proceedings /
Published: (1996)
Published: (1996)
Algorithmic learning theory : 10th International Conference, ALT'99, Tokyo, Japan, December 6-8, 1999 : proceedings /
Published: (1999)
Published: (1999)
Algorithmic learning theory : 9th international conference, ALT '98, Otzenhausen, Germany, October 8-10, 1998 : proceedings /
Published: (1998)
Published: (1998)
Algorithmic learning theory : 8th international workshop, ALT '97, Sendai, Japan, October 6-8, 1997 : proceedings /
Published: (1997)
Published: (1997)
Algorithmic learning theory : 11th international conference, ALT 2000 Sydney, Australia, December 11-13, 2000, proceedings /
Published: (2000)
Published: (2000)
Algorithmic learning theory : 12th international conference, ALT 2001, Washington, DC, USA, November 25-28, 2001 : proceedings /
Published: (2001)
Published: (2001)
Applied Learning Algorithms for Intelligent IoT.
Published: (2021)
Published: (2021)