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A '''constrained conditional model''' (CCM) is a [[machine learning]] and inference framework that augments the learning of conditional (probabilistic or discriminative) models with declarative constraints. The constraint can be used as a way to incorporate expressive{{clarify|date=April 2013}} prior knowledge into the model and bias the assignments made by the learned model to satisfy these constraints. The framework can be used to support decisions in an expressive output space while maintaining modularity and tractability of training and inference.
On the damaging facet, they will leave less of an edge for slicing and batoning. On the constructive aspect, they are often an asset when needing to choke up on the blade to pores and skin small recreation animals, and so forth., and can even make the blade just a little simpler to sharpen. For the reason that edge is just [http://www.thebestpocketknifereviews.com/best-edc-knife-everyday-carry-knives/ best Edc Knives] not butted right in opposition to the finger guard, this area could be a little easier to achieve with a sharpening stone. I've included my impression of the finger choil in the discipline testing beneath. One other problem is the velcro retaining strap on the sheath. The straightforward addition of a heavy obligation button snap ala' Gerber's LMF II<br><br><br><br>We consider it our mission that can assist you find the proper knife that meets your wants. First off, it is best to check out our HUGE interactive chart of pocket knives which tables all the most well-liked knives and their specs that will help you compare, contrast and make an knowledgeable choice. As well as you’ll discover more detailed opinions of particular knives in our evaluations part and inside different articles. But serrated edges have their drawbacks as a result of relying on the serration style and the habits of the user, the [http://Dallaskoreans.com/index.php?document_srl=394311&mid=Test serrated tips] can chip off fairly easily and serrated edges are a ache in the butt to sharpen unless you will have the best device.<br><br>I believe one of the causes I like The Folding Knife a lot is that it might probably so simply be turned on its head. This might be the story of the bad guys, the evil empire. It may be the story of the gifted bureaucrat on the earth of Chosen Ones and destiny (imagine, for example, what it will be prefer to be the steward of Minas Tirith—you do a rattling good job of the close to-inconceivable activity of holding together the final nice nation and, whammo, some lunatic hillbilly sails out of the woods and takes the corner workplace as a result of he’s got a “higher bloodline.” Epic fantasy is nepotism.)<br><br>Our take a look at subjects have been average-sized thirteen yr-old boys. The wristband match comfortably on the wrist for each boys. After a number of hours, one boy complained it was too unfastened and finally made his own gap additional up the band along with his pocket knife. Both boys stated they noticed the yellow plastic grommet but [http://www.thebestpocketknifereviews.com/best-edc-knife-everyday-carry-knives/ Best edc Knife] neither have been bothered by it. The wristband match snugly on the boys' ankles and in each cases, came free whereas they played in the lake. Both boys mentioned the band felt no different than another gel bracelet they're accustomed to wearing. "It simply smelled higher," one boy declared.<br><br>The tactical knife can also be referred as a fight knife. This can be utilized for the outdoor functions similar to cut the branches, trim the brush. It's also used to capture the food and the safety. Finest Tactical Knife can be used in several types of state of affairs. It is very popular for the makes use of of farms. The tactical knives are good for chopping the rope, doing the chores and any sort of emergency conditions. They're differing kinds and fashions are current in the tactical knife. You should purchase the security normal knife with very best quality blade and probably metal.<br><br>A pop-up camper might help present a enjoyable and easy camping experience. They are usually sturdy and simple to arrange and clear. However, there's nothing enjoyable a few pop-up camper with a tear within the canvas. A tear in your pop-up camper makes you vulnerable to bugs and rain water. To keep away from sleeping in wet circumstances with a ton of mosquitoes, preserve your camper in good situation. Fortunately, fixing a tear within the canvas of a pop-up camper is a straightforward course of. All you need is a tent restore kit and two hours.<br><br>Overall this is a nice knife however could be very angular and enormous — an excessive amount of so for it to sit comfortably in my pocket. It is not uncomfortable in my hand, however it's just another stable knife — not what I used to be on the lookout [http://en.wikipedia.org/wiki/Pocket_knife custom hunting knives] for. I wouldn’t really feel screwed if I used to be caught within the woods with this knife, however once more not my first selection amongst this group of folders. It has incredibly easy and fluid opening, the double sided lock launch is a nice touch for a lefty like me.<br><br>Reviewing gear is one thing, but scientifically and systematically testing gear is another. Very few people have the time, money, and information to do this. One person who does is the all the time provocative Cliff Stamp. Cliff was form sufficient to drop by my podcast on gear, Gear Geeks Dwell , for Episode 9 It was an enlightening dialogue about all sorts of [http://weareinno.com/members/eugencomeau/activity/120402/ knife subjects]. Considered one of my take-away classes was that it is nearly unimaginable for customers to do systematic testing. No locations is that this impossibility extra evident than in our attempts to evaluate lock performance.<br><br>Basically, different metals are blended with the steel to obtain some better qualities. However, those advantages aren't with out tradeoffs. The good thing is that the steel is optimized for the kitchen and common sturdiness. The downside is that the steel is softer than it really could be and that means the sting of the blade can't hold as sharp of an edge as it could in any other case. Because the metallic is softer, it's simpler to sharpen but it surely additionally will boring just a little bit faster also. Generally, these high finish kitchen knives are in the fifty two to fifty eight on the Rockwell scale.
 
Models of this kind have recently{{when|date=March 2013}} attracted much attention{{citation needed|date=March 2013}} within the natural language processing ([[Natural Language Processing|NLP]]) community.
Formulating problems as constrained optimization problems over the output of learned models has several advantages. It allows one to focus on the modeling of problems by providing the opportunity to incorporate domain-specific knowledge as global constraints using a first order language. Using this declarative framework frees the developer from low level feature engineering while capturing the problem's domain-specific properties and guarantying exact inference. From a machine learning perspective it allows decoupling the stage of model generation (learning) from that of the constrained inference stage, thus helping to simplify the learning stage while improving the quality of the solutions. For example, in the case of generating compressed sentences, rather than simply relaying on a language model to keep in the sentence the most commonly used ngrams, constraints can be used to make sure that if a modifier is kept in the compressed sentence, its subject will also be kept.
 
==Motivation==
Making decisions in many domains (such as natural language processing and computer vision problems) often involve assigning values to sets of interdependent variables where the expressive dependency structure can influence, or even dictate, what assignments are possible. These settings are applicable to Structured Learning problems such as semantic role labeling but also for cases that require making use of multiple pre-learned components, such as summarization, textual entailment and question answering. In all these cases, it is natural to formulate the decision problem as a constrained optimization problem, with an objective function that is composed of learned models, subject to domain or problem specific constraints.
 
Constrained conditional models is a learning and inference framework that augments the learning of conditional (probabilistic or discriminative) models with declarative constraints (written, for example, using a first-order representation) as a way to support decisions in an expressive output space while maintaining modularity and tractability of training and inference. These constraints can express either hard restrictions, completely prohibiting some assignments, or soft restrictions, penalizing unlikely assignments. In most applications of this framework in NLP, following,<ref>Dan Roth and Wen-tau Yih, [http://l2r.cs.uiuc.edu/~danr/Papers/RothYi04.pdf "A Linear Programming Formulation for Global Inference in Natural Language Tasks."] ''CoNLL'', (2004).</ref> Integer Linear Programming (ILP) was used as the inference framework, although other algorithms can be used for that purpose.
 
==Formal Definition==
Given a set of feature functions <math>\{ \phi_i(x,y) \}</math> and a set of constraints <math>\{ C_i (x,y)\}</math>, defined over an input structure <math>x \in X</math> and an output structure  <math> y \in Y</math>, a constraint conditional model is characterized by two weight vectors, w and <math>\rho</math>, and is defined as the solution to the following optimization problem:
:<math>argmax_{y} \sum_i w_i \phi_i (x,y) - \sum \rho_i C_i (x,y)</math>.
Each constraint  <math>C_i \in C</math> is a boolean mapping indicating if the joint assignment <math>(x,y)</math> violates a constraint, and <math>\rho</math> is the penalty incurred for violating the constraints.  Constraints assigned an infinite penalty are known as hard constraints, and represent unfeasible assignments to the optimization problem.
 
==Training paradigms==
 
=== Learning local vs. global models ===
The objective function used by CCMs can be decomposed and learned in several ways, ranging from a complete joint training of the model along with the constraints to completely decoupling between the learning and the inference stage. In the latter case, several local models are learned independently and the dependency between these models is considered only at decision time via a global decision process. The advantages of each approach are discussed in,<ref>Vasin Punyakanok and Dan Roth and Wen-Tau Yih and Dav Zimak, [http://l2r.cs.uiuc.edu/~danr/Papers/PRYZ05.pdf  "Learning and Inference over Constrained Output."] ''IJCAI'', (2005).</ref> which studies the two training paradigms: (1) local models: L+I (learning+inference) and (2) global model: IBT (Inference based training), and shows both theoretically and experimentally that while IBT (joint training) is best in the limit, under some conditions (basically, ”good” components”) L+I can generalize better.
 
The ability of CCM to combine local model is especially beneficial in cases where joint leaning is computationally intractable or when training data is not available for joint learning. This flexibility distinguishes CCM from other learning frameworks (e.g., [[Markov logic network]]) that emphasize joint training.
 
=== Minimally supervised CCM ===
CCM can help reduce supervision by using domain knowledge (expressed as constraints) to drive learning. These setting were studied in
<ref>Ming-Wei Chang and Lev Ratinov and Dan Roth, [http://l2r.cs.uiuc.edu/~danr/Papers/ChangRaRo07.pdf "Guiding Semi-Supervision with Constraint-Driven Learning."] ''ACL'', (2007).</ref> and.<ref>Ming-Wei Chang and Lev Ratinov and Dan Roth, [http://l2r.cs.uiuc.edu/~danr/Papers/ChangRaRo08.pdf "Constraints as Prior Knowledge."] ''ICML Workshop on Prior Knowledge for Text and Language Processing, (2008).</ref> These works introduce semi-supervised Constraints Driven Learning
(CODL) and show that by incorporating domain knowledge the performance of the learned model improves significantly.
 
=== Learning over latent representations ===
CCMs were also applied to latent learning frameworks, where the learning problem is defined over a latent representation layer. Since the notion of a ''correct representation'' is inherently ill-defined no gold-labeled data regarding the representation decision is available to the learner. Identifying the correct (or optimal) learning representation is viewed as a [[structured prediction]] process and therefore modeled as a CCM.  
This problem was studied by several papers, in both supervised<ref>Ming-Wei Chang and Dan Goldwasser and Dan Roth and Vivek Srikumar, [http://l2r.cs.uiuc.edu/~danr/Papers/CGRS10.pdf "Discriminative Learning over Constrained Latent Representations."] NAACL, (2010).</ref>  and unsupervised <ref>Ming-Wei Chang Dan Goldwasser Dan Roth and Yuancheng Tu, [http://l2r.cs.uiuc.edu/~danr/Papers/CGRT10.pdf "Unsupervised Constraint Driven Learning For Transliteration Discovery."] NAACL, (2009).</ref> settings and in all cases showed that explicitly modeling the interdependencies between representation decisions via constraints results in an improved performance.
 
== Integer linear programming for natural language processing applications ==
The advantages of the CCM declarative formulation and the availability of off-the-shelf solvers have led to a large variety of [[natural language processing]] tasks being formulated within framework, including [[semantic role labeling]],<ref>Vasin Punyakanok, Dan Roth, Wen-tau Yih and Dav Zimak, [http://l2r.cs.uiuc.edu/~danr/Papers/PRYZ04.pdf "Semantic Role Labeling via Integer Linear Programming Inference."] COLING, (2004).</ref> syntactic parsing,<ref>Kenji Sagae and Yusuke Miyao and Jun’ichi Tsujii, [http://www.aclweb.org/anthology/P07-1079 "HPSG Parsing with Shallow Dependency Constraints."] ACL, (2007).</ref> [[coreference]] resolution,<ref>Pascal Denis and Jason Baldridge, [http://www.aclweb.org/anthology-new/N/N07/N07-1030.pdf "Joint Determination of Anaphoricity and Coreference Resolution using Integer Programming."] NAACL-HLT, (2007).</ref> summarization,<ref>James Clarke and Mirella Lapata, [http://www.jair.org/media/2433/live-2433-3730-jair.ps "Global Inference for Sentence Compression: An Integer Linear Programming Approach."]  Journal of Artificial Intelligence Research (JAIR), (2008).</ref><ref>Katja Filippova and Michael Strube, [http://www.aclweb.org/anthology-new/W/W08/W08-1105 "Dependency Tree Based Sentence Compression."] ''INLG'', (2008).</ref><ref>Katja Filippova and Michael Strube, [http://www.aclweb.org/anthology/D08-1019 "Sentence Fusion via Dependency Graph Compression."] ''EMNLP'', (2008).</ref> [[transliteration]],<ref>Dan Goldwasser and Dan Roth, [http://l2r.cs.uiuc.edu/~danr/Papers/GoldwasserRo08a.pdf "Transliteration as Constrained Optimization."] EMNLP, (2008).</ref> natural language generation <ref>Regina Barzilay and Mirrela Lapata, [http://www.aclweb.org/anthology/N/N06/N06-1046 "Aggregation via Set Partitioning for Natural Language Generation."] ''NAACL'', (2006).</ref> and [[joint information]] extraction.<ref>Dan Roth and Wen-tau Yih, [http://l2r.cs.uiuc.edu/~danr/Papers/RothYi04.pdf  "A Linear Programming Formulation for Global Inference in Natural Language Tasks."] ''CoNLL'', (2004).</ref><ref>Yejin Choi and Eric Breck and Claire Cardie, [http://portal.acm.org/citation.cfm?id=1610075.1610136 "Joint Extraction of Entities and Relations for Opinion Recognition."] ''EMNLP'', (2006).</ref>
 
Most of these works use an integer linear programming (ILP) solver to solve the decision problem. Although theoretically solving an Integer Linear Program is exponential in the size of the decision problem in practice using state-of-the-art solvers and [[approximate inference]] techniques <ref>André F. T. Martins, Noah A. Smith, and Eric P. Xing, [http://www.cs.cmu.edu/~nasmith/papers/martins+smith+xing.acl09.pdf "Concise Integer Linear Programming Formulations for Dependency Parsing ."] ACL, (2009).</ref> large scale problems can be solved efficiently.
 
The key advantage of using an ILP solver for solving the optimization problem defined by a constrained conditional model is the declarative formulation used as input for the ILP solver, consisting of a linear objective function and a set of linear constraints.
 
== Resources ==
* '''CCM Tutorial''' [http://l2r.cs.uiuc.edu/~danr/Talks/CCM-NAACL-12-Tutorial.pdf Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP]
* '''CCM Software''' [[Learning Based Java]]
 
== External links==
* [http://l2r.cs.uiuc.edu/~cogcomp/wpt.php?pr_key=CCM University of Illinois Cognitive Computation Group]
* [http://www-tsujii.is.s.u-tokyo.ac.jp/ilpnlp/ Workshop on Integer Linear Programming for Natural Language Processing, NAACL-2009]
 
==References==
<references/>
 
<!--Categories-->
[[Category:Structured prediction]]

Latest revision as of 23:59, 21 April 2014

On the damaging facet, they will leave less of an edge for slicing and batoning. On the constructive aspect, they are often an asset when needing to choke up on the blade to pores and skin small recreation animals, and so forth., and can even make the blade just a little simpler to sharpen. For the reason that edge is just best Edc Knives not butted right in opposition to the finger guard, this area could be a little easier to achieve with a sharpening stone. I've included my impression of the finger choil in the discipline testing beneath. One other problem is the velcro retaining strap on the sheath. The straightforward addition of a heavy obligation button snap ala' Gerber's LMF II



We consider it our mission that can assist you find the proper knife that meets your wants. First off, it is best to check out our HUGE interactive chart of pocket knives which tables all the most well-liked knives and their specs that will help you compare, contrast and make an knowledgeable choice. As well as you’ll discover more detailed opinions of particular knives in our evaluations part and inside different articles. But serrated edges have their drawbacks as a result of relying on the serration style and the habits of the user, the serrated tips can chip off fairly easily and serrated edges are a ache in the butt to sharpen unless you will have the best device.

I believe one of the causes I like The Folding Knife a lot is that it might probably so simply be turned on its head. This might be the story of the bad guys, the evil empire. It may be the story of the gifted bureaucrat on the earth of Chosen Ones and destiny (imagine, for example, what it will be prefer to be the steward of Minas Tirith—you do a rattling good job of the close to-inconceivable activity of holding together the final nice nation and, whammo, some lunatic hillbilly sails out of the woods and takes the corner workplace as a result of he’s got a “higher bloodline.” Epic fantasy is nepotism.)

Our take a look at subjects have been average-sized thirteen yr-old boys. The wristband match comfortably on the wrist for each boys. After a number of hours, one boy complained it was too unfastened and finally made his own gap additional up the band along with his pocket knife. Both boys stated they noticed the yellow plastic grommet but Best edc Knife neither have been bothered by it. The wristband match snugly on the boys' ankles and in each cases, came free whereas they played in the lake. Both boys mentioned the band felt no different than another gel bracelet they're accustomed to wearing. "It simply smelled higher," one boy declared.

The tactical knife can also be referred as a fight knife. This can be utilized for the outdoor functions similar to cut the branches, trim the brush. It's also used to capture the food and the safety. Finest Tactical Knife can be used in several types of state of affairs. It is very popular for the makes use of of farms. The tactical knives are good for chopping the rope, doing the chores and any sort of emergency conditions. They're differing kinds and fashions are current in the tactical knife. You should purchase the security normal knife with very best quality blade and probably metal.

A pop-up camper might help present a enjoyable and easy camping experience. They are usually sturdy and simple to arrange and clear. However, there's nothing enjoyable a few pop-up camper with a tear within the canvas. A tear in your pop-up camper makes you vulnerable to bugs and rain water. To keep away from sleeping in wet circumstances with a ton of mosquitoes, preserve your camper in good situation. Fortunately, fixing a tear within the canvas of a pop-up camper is a straightforward course of. All you need is a tent restore kit and two hours.

Overall this is a nice knife however could be very angular and enormous — an excessive amount of so for it to sit comfortably in my pocket. It is not uncomfortable in my hand, however it's just another stable knife — not what I used to be on the lookout custom hunting knives for. I wouldn’t really feel screwed if I used to be caught within the woods with this knife, however once more not my first selection amongst this group of folders. It has incredibly easy and fluid opening, the double sided lock launch is a nice touch for a lefty like me.

Reviewing gear is one thing, but scientifically and systematically testing gear is another. Very few people have the time, money, and information to do this. One person who does is the all the time provocative Cliff Stamp. Cliff was form sufficient to drop by my podcast on gear, Gear Geeks Dwell , for Episode 9 It was an enlightening dialogue about all sorts of knife subjects. Considered one of my take-away classes was that it is nearly unimaginable for customers to do systematic testing. No locations is that this impossibility extra evident than in our attempts to evaluate lock performance.

Basically, different metals are blended with the steel to obtain some better qualities. However, those advantages aren't with out tradeoffs. The good thing is that the steel is optimized for the kitchen and common sturdiness. The downside is that the steel is softer than it really could be and that means the sting of the blade can't hold as sharp of an edge as it could in any other case. Because the metallic is softer, it's simpler to sharpen but it surely additionally will boring just a little bit faster also. Generally, these high finish kitchen knives are in the fifty two to fifty eight on the Rockwell scale.

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